McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
09/26/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
09/26/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
09/26/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
JOB DESCRIPTION Located in the metropolitan area of Sacramento, the Adventist Health corporate headquarters have been based in Roseville, California, for more than 40 years. In 2019, we unveiled our WELL-certified campus - a rejuvenating place for associates systemwide to collaborate, innovate and connect. Adventist Health Roseville and shared service teams have access to enjoy a welcoming space designed to promote well-being and inspire your best work. Job Summary: Adventist Health Roseville is seeking an Epic-Certified EHR Systems Analyst III for a full-time, day-shift position. We are looking for a strong candidate who can work primarily remotely, with the ability to travel up to 25% as required by the role. Candidates must have at least five (5) years of recent Epic Ambulatory experience. EpicCare Ambulatory certification is highly desirable , with a strong preference for candidates certified in Bones or Wisdom . Experience supporting Occupational Health or Occupational Medicine workflows in Epic is strongly preferred, including any exposure to the Epic Occupational Medicine (Occ Med) module . Leads the implementation and support of hospital information systems. Leads the planning, design, implementation, and maintenance of the existing systems and has a working knowledge of the applications for support and troubleshooting. Liaises between technical support, customers, and project teams in the design, implementation, and training of our healthcare information systems and any new enhanced systems. Utilizes comprehensive knowledge of Epic EHR system capabilities and functional use. Develops, recommends, and oversees implementation of policies and procedures for areas of responsibility. Job Requirements: Education and Work Experience: Bachelor's Degree or equivalent combination of education/related experience: Required Five years' healthcare IT application/technical experience: Required Five years' of applicable Epic application experience: Required Licenses/Certifications: Epic Certification/Accreditation in area of responsibility: Required Essential Functions: Serves as a senior member of the team, dedicated to the design, build and testing of electronic documentation solutions that support clinical and revenue cycle workflow. Leads project meetings and works cooperatively with team members to assign duties with the overall program and related projects with minimal managerial oversight. Facilitates application workflow design and application integration sessions. Designs, configures, tests, debugs, documents, and maintains programs/applications. Collaborates, researches, and analyzes to develop, configure, and modify moderately complex information systems based on or related to user system design specifications while utilizing established standards and departmental protocols. Designs and develops test scripts and materials for end-to-end workflow testing. Performs unit, system and integration testing per standards, documents outcomes. Evaluates user requests for special enhancements to systems. Collaborates with technical teams to define hardware/network requirements and to research and problem-solve technical issues. Installs and tests software per release checklist guidelines. Manages the planning and installation of automated systems. Works with end-users to develop specifications for the purchase, development and installation of software systems. Monitors progress of the plan and proposes corrective action where indicated. Utilizes appropriate planned change management models, principles and techniques in system planning, development, implementation and evaluation. Designs, develops, and monitors measurements of process improvements, including those enabled by standardized workflows. Provides ongoing support for existing computer applications. Provides support for problem resolution; escalates the problem to senior level personnel if necessary. Implements solutions, communicates to end users and tracks resolution. Analyzes incidents, identifying trends and major issues. Conducts routine status meetings with end users and leadership. Provides leadership support to analysts and team and to end-users regarding system applications. Maintains service level agreements with various end-user departments and enterprise business units. Supports the preparation and delivery of training materials and formal/informal training. Identifies educational opportunities related to standard applications and operational use of them. Develops strategies to educate analysts and support staff with focus to achieve improved operational understanding and efficiency. Leads various user group meetings as assigned. Mentors support groups to assist with their understanding of applications and processes. Handles ongoing on call duties for one or more applications which generate Incidents outside of business hours. Provides on call support as needed of the most critical applications. Troubleshoots and resolves system issues escalated by the help desk. As needed, up to 25%, travel on site to provide support during go-live events and other work-related occasions. Travel could occur during standard off-hours support times. Performs other job-related duties as assigned. Organizational Requirements: Adventist Health is committed to the safety and wellbeing of our associates and patients. Therefore, we require that all associates receive all required vaccinations as a condition of employment and annually thereafter, where applicable. Medical and religious exemptions may apply. Adventist Health participates in E-Verify. Visit for more information about E-Verify. By choosing to apply, you acknowledge that you have accessed and read the E-Verify Participation and Right to Work notices and understand the contents therein. ABOUT US Adventist Health is a faith-based, nonprofit, integrated health system serving more than 100 communities on the West Coast and Hawaii with over 440 sites of care, including 27 acute care facilities. Founded on Adventist heritage and values, Adventist Health provides care in hospitals, clinics, home care, and hospice agencies in both rural and urban communities. Our compassionate and talented team of more than 38,000 includes employees, physicians, Medical Staff, and volunteers driven in pursuit of one mission: living God's love by inspiring health, wholeness and hope.PandoLogic. Category:Technology,
09/26/2026
Full time
JOB DESCRIPTION Located in the metropolitan area of Sacramento, the Adventist Health corporate headquarters have been based in Roseville, California, for more than 40 years. In 2019, we unveiled our WELL-certified campus - a rejuvenating place for associates systemwide to collaborate, innovate and connect. Adventist Health Roseville and shared service teams have access to enjoy a welcoming space designed to promote well-being and inspire your best work. Job Summary: Adventist Health Roseville is seeking an Epic-Certified EHR Systems Analyst III for a full-time, day-shift position. We are looking for a strong candidate who can work primarily remotely, with the ability to travel up to 25% as required by the role. Candidates must have at least five (5) years of recent Epic Ambulatory experience. EpicCare Ambulatory certification is highly desirable , with a strong preference for candidates certified in Bones or Wisdom . Experience supporting Occupational Health or Occupational Medicine workflows in Epic is strongly preferred, including any exposure to the Epic Occupational Medicine (Occ Med) module . Leads the implementation and support of hospital information systems. Leads the planning, design, implementation, and maintenance of the existing systems and has a working knowledge of the applications for support and troubleshooting. Liaises between technical support, customers, and project teams in the design, implementation, and training of our healthcare information systems and any new enhanced systems. Utilizes comprehensive knowledge of Epic EHR system capabilities and functional use. Develops, recommends, and oversees implementation of policies and procedures for areas of responsibility. Job Requirements: Education and Work Experience: Bachelor's Degree or equivalent combination of education/related experience: Required Five years' healthcare IT application/technical experience: Required Five years' of applicable Epic application experience: Required Licenses/Certifications: Epic Certification/Accreditation in area of responsibility: Required Essential Functions: Serves as a senior member of the team, dedicated to the design, build and testing of electronic documentation solutions that support clinical and revenue cycle workflow. Leads project meetings and works cooperatively with team members to assign duties with the overall program and related projects with minimal managerial oversight. Facilitates application workflow design and application integration sessions. Designs, configures, tests, debugs, documents, and maintains programs/applications. Collaborates, researches, and analyzes to develop, configure, and modify moderately complex information systems based on or related to user system design specifications while utilizing established standards and departmental protocols. Designs and develops test scripts and materials for end-to-end workflow testing. Performs unit, system and integration testing per standards, documents outcomes. Evaluates user requests for special enhancements to systems. Collaborates with technical teams to define hardware/network requirements and to research and problem-solve technical issues. Installs and tests software per release checklist guidelines. Manages the planning and installation of automated systems. Works with end-users to develop specifications for the purchase, development and installation of software systems. Monitors progress of the plan and proposes corrective action where indicated. Utilizes appropriate planned change management models, principles and techniques in system planning, development, implementation and evaluation. Designs, develops, and monitors measurements of process improvements, including those enabled by standardized workflows. Provides ongoing support for existing computer applications. Provides support for problem resolution; escalates the problem to senior level personnel if necessary. Implements solutions, communicates to end users and tracks resolution. Analyzes incidents, identifying trends and major issues. Conducts routine status meetings with end users and leadership. Provides leadership support to analysts and team and to end-users regarding system applications. Maintains service level agreements with various end-user departments and enterprise business units. Supports the preparation and delivery of training materials and formal/informal training. Identifies educational opportunities related to standard applications and operational use of them. Develops strategies to educate analysts and support staff with focus to achieve improved operational understanding and efficiency. Leads various user group meetings as assigned. Mentors support groups to assist with their understanding of applications and processes. Handles ongoing on call duties for one or more applications which generate Incidents outside of business hours. Provides on call support as needed of the most critical applications. Troubleshoots and resolves system issues escalated by the help desk. As needed, up to 25%, travel on site to provide support during go-live events and other work-related occasions. Travel could occur during standard off-hours support times. Performs other job-related duties as assigned. Organizational Requirements: Adventist Health is committed to the safety and wellbeing of our associates and patients. Therefore, we require that all associates receive all required vaccinations as a condition of employment and annually thereafter, where applicable. Medical and religious exemptions may apply. Adventist Health participates in E-Verify. Visit for more information about E-Verify. By choosing to apply, you acknowledge that you have accessed and read the E-Verify Participation and Right to Work notices and understand the contents therein. ABOUT US Adventist Health is a faith-based, nonprofit, integrated health system serving more than 100 communities on the West Coast and Hawaii with over 440 sites of care, including 27 acute care facilities. Founded on Adventist heritage and values, Adventist Health provides care in hospitals, clinics, home care, and hospice agencies in both rural and urban communities. Our compassionate and talented team of more than 38,000 includes employees, physicians, Medical Staff, and volunteers driven in pursuit of one mission: living God's love by inspiring health, wholeness and hope.PandoLogic. Category:Technology,
JOB DESCRIPTION Located in the metropolitan area of Sacramento, the Adventist Health corporate headquarters have been based in Roseville, California, for more than 40 years. In 2019, we unveiled our WELL-certified campus - a rejuvenating place for associates systemwide to collaborate, innovate and connect. Adventist Health Roseville and shared service teams have access to enjoy a welcoming space designed to promote well-being and inspire your best work. Job Summary: Adventist Health Roseville is seeking an Epic-Certified EHR Systems Analyst III for a full-time, day-shift position. We are looking for a strong candidate who can work primarily remotely, with the ability to travel up to 25% as required by the role. Candidates must have at least five (5) years of recent Epic Ambulatory experience. EpicCare Ambulatory certification is highly desirable , with a strong preference for candidates certified in Bones or Wisdom . Experience supporting Occupational Health or Occupational Medicine workflows in Epic is strongly preferred, including any exposure to the Epic Occupational Medicine (Occ Med) module . Leads the implementation and support of hospital information systems. Leads the planning, design, implementation, and maintenance of the existing systems and has a working knowledge of the applications for support and troubleshooting. Liaises between technical support, customers, and project teams in the design, implementation, and training of our healthcare information systems and any new enhanced systems. Utilizes comprehensive knowledge of Epic EHR system capabilities and functional use. Develops, recommends, and oversees implementation of policies and procedures for areas of responsibility. Job Requirements: Education and Work Experience: Bachelor's Degree or equivalent combination of education/related experience: Required Five years' healthcare IT application/technical experience: Required Five years' of applicable Epic application experience: Required Licenses/Certifications: Epic Certification/Accreditation in area of responsibility: Required Essential Functions: Serves as a senior member of the team, dedicated to the design, build and testing of electronic documentation solutions that support clinical and revenue cycle workflow. Leads project meetings and works cooperatively with team members to assign duties with the overall program and related projects with minimal managerial oversight. Facilitates application workflow design and application integration sessions. Designs, configures, tests, debugs, documents, and maintains programs/applications. Collaborates, researches, and analyzes to develop, configure, and modify moderately complex information systems based on or related to user system design specifications while utilizing established standards and departmental protocols. Designs and develops test scripts and materials for end-to-end workflow testing. Performs unit, system and integration testing per standards, documents outcomes. Evaluates user requests for special enhancements to systems. Collaborates with technical teams to define hardware/network requirements and to research and problem-solve technical issues. Installs and tests software per release checklist guidelines. Manages the planning and installation of automated systems. Works with end-users to develop specifications for the purchase, development and installation of software systems. Monitors progress of the plan and proposes corrective action where indicated. Utilizes appropriate planned change management models, principles and techniques in system planning, development, implementation and evaluation. Designs, develops, and monitors measurements of process improvements, including those enabled by standardized workflows. Provides ongoing support for existing computer applications. Provides support for problem resolution; escalates the problem to senior level personnel if necessary. Implements solutions, communicates to end users and tracks resolution. Analyzes incidents, identifying trends and major issues. Conducts routine status meetings with end users and leadership. Provides leadership support to analysts and team and to end-users regarding system applications. Maintains service level agreements with various end-user departments and enterprise business units. Supports the preparation and delivery of training materials and formal/informal training. Identifies educational opportunities related to standard applications and operational use of them. Develops strategies to educate analysts and support staff with focus to achieve improved operational understanding and efficiency. Leads various user group meetings as assigned. Mentors support groups to assist with their understanding of applications and processes. Handles ongoing on call duties for one or more applications which generate Incidents outside of business hours. Provides on call support as needed of the most critical applications. Troubleshoots and resolves system issues escalated by the help desk. As needed, up to 25%, travel on site to provide support during go-live events and other work-related occasions. Travel could occur during standard off-hours support times. Performs other job-related duties as assigned. Organizational Requirements: Adventist Health is committed to the safety and wellbeing of our associates and patients. Therefore, we require that all associates receive all required vaccinations as a condition of employment and annually thereafter, where applicable. Medical and religious exemptions may apply. Adventist Health participates in E-Verify. Visit for more information about E-Verify. By choosing to apply, you acknowledge that you have accessed and read the E-Verify Participation and Right to Work notices and understand the contents therein. ABOUT US Adventist Health is a faith-based, nonprofit, integrated health system serving more than 100 communities on the West Coast and Hawaii with over 440 sites of care, including 27 acute care facilities. Founded on Adventist heritage and values, Adventist Health provides care in hospitals, clinics, home care, and hospice agencies in both rural and urban communities. Our compassionate and talented team of more than 38,000 includes employees, physicians, Medical Staff, and volunteers driven in pursuit of one mission: living God's love by inspiring health, wholeness and hope.PandoLogic. Category:Technology,
09/26/2026
Full time
JOB DESCRIPTION Located in the metropolitan area of Sacramento, the Adventist Health corporate headquarters have been based in Roseville, California, for more than 40 years. In 2019, we unveiled our WELL-certified campus - a rejuvenating place for associates systemwide to collaborate, innovate and connect. Adventist Health Roseville and shared service teams have access to enjoy a welcoming space designed to promote well-being and inspire your best work. Job Summary: Adventist Health Roseville is seeking an Epic-Certified EHR Systems Analyst III for a full-time, day-shift position. We are looking for a strong candidate who can work primarily remotely, with the ability to travel up to 25% as required by the role. Candidates must have at least five (5) years of recent Epic Ambulatory experience. EpicCare Ambulatory certification is highly desirable , with a strong preference for candidates certified in Bones or Wisdom . Experience supporting Occupational Health or Occupational Medicine workflows in Epic is strongly preferred, including any exposure to the Epic Occupational Medicine (Occ Med) module . Leads the implementation and support of hospital information systems. Leads the planning, design, implementation, and maintenance of the existing systems and has a working knowledge of the applications for support and troubleshooting. Liaises between technical support, customers, and project teams in the design, implementation, and training of our healthcare information systems and any new enhanced systems. Utilizes comprehensive knowledge of Epic EHR system capabilities and functional use. Develops, recommends, and oversees implementation of policies and procedures for areas of responsibility. Job Requirements: Education and Work Experience: Bachelor's Degree or equivalent combination of education/related experience: Required Five years' healthcare IT application/technical experience: Required Five years' of applicable Epic application experience: Required Licenses/Certifications: Epic Certification/Accreditation in area of responsibility: Required Essential Functions: Serves as a senior member of the team, dedicated to the design, build and testing of electronic documentation solutions that support clinical and revenue cycle workflow. Leads project meetings and works cooperatively with team members to assign duties with the overall program and related projects with minimal managerial oversight. Facilitates application workflow design and application integration sessions. Designs, configures, tests, debugs, documents, and maintains programs/applications. Collaborates, researches, and analyzes to develop, configure, and modify moderately complex information systems based on or related to user system design specifications while utilizing established standards and departmental protocols. Designs and develops test scripts and materials for end-to-end workflow testing. Performs unit, system and integration testing per standards, documents outcomes. Evaluates user requests for special enhancements to systems. Collaborates with technical teams to define hardware/network requirements and to research and problem-solve technical issues. Installs and tests software per release checklist guidelines. Manages the planning and installation of automated systems. Works with end-users to develop specifications for the purchase, development and installation of software systems. Monitors progress of the plan and proposes corrective action where indicated. Utilizes appropriate planned change management models, principles and techniques in system planning, development, implementation and evaluation. Designs, develops, and monitors measurements of process improvements, including those enabled by standardized workflows. Provides ongoing support for existing computer applications. Provides support for problem resolution; escalates the problem to senior level personnel if necessary. Implements solutions, communicates to end users and tracks resolution. Analyzes incidents, identifying trends and major issues. Conducts routine status meetings with end users and leadership. Provides leadership support to analysts and team and to end-users regarding system applications. Maintains service level agreements with various end-user departments and enterprise business units. Supports the preparation and delivery of training materials and formal/informal training. Identifies educational opportunities related to standard applications and operational use of them. Develops strategies to educate analysts and support staff with focus to achieve improved operational understanding and efficiency. Leads various user group meetings as assigned. Mentors support groups to assist with their understanding of applications and processes. Handles ongoing on call duties for one or more applications which generate Incidents outside of business hours. Provides on call support as needed of the most critical applications. Troubleshoots and resolves system issues escalated by the help desk. As needed, up to 25%, travel on site to provide support during go-live events and other work-related occasions. Travel could occur during standard off-hours support times. Performs other job-related duties as assigned. Organizational Requirements: Adventist Health is committed to the safety and wellbeing of our associates and patients. Therefore, we require that all associates receive all required vaccinations as a condition of employment and annually thereafter, where applicable. Medical and religious exemptions may apply. Adventist Health participates in E-Verify. Visit for more information about E-Verify. By choosing to apply, you acknowledge that you have accessed and read the E-Verify Participation and Right to Work notices and understand the contents therein. ABOUT US Adventist Health is a faith-based, nonprofit, integrated health system serving more than 100 communities on the West Coast and Hawaii with over 440 sites of care, including 27 acute care facilities. Founded on Adventist heritage and values, Adventist Health provides care in hospitals, clinics, home care, and hospice agencies in both rural and urban communities. Our compassionate and talented team of more than 38,000 includes employees, physicians, Medical Staff, and volunteers driven in pursuit of one mission: living God's love by inspiring health, wholeness and hope.PandoLogic. Category:Technology,
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
09/26/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
09/26/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
09/26/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
09/26/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
09/26/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Corporate IT organization is made up of several teams that all work towards the same goal: To build, operate, and maintain the IT systems and infrastructure necessary to enable a highly connected and collaborative workforce that helps power Visa's business. With our mission in mind, we work to ensure the world is connected through the most advanced and innovative digital payment network that enables individuals, businesses, and economies to thrive. We prioritize delightful user experiences. We do not take orders, rather, we build deep partnerships with our business partners and champion proactive new ways technology can advance our business into the future. The Security, Risk and Compliance Analyst role resides on the Corporate IT (CIT) Business Operations team and directly supports Visa's Chief Information Officer (CIO) and the CIT leadership team. The team is responsible for governance and adherence to Visa corporate cyber security requirements and running point on all internal/external audit and compliance requests, with oversight for all CIT-owned applications. The position requires a program management professional with the ability to seamlessly flex between the strategic and the tactical. This role requires attention to detail and analytical rigor, as well as the ability to synthesize and streamline information for executive reporting. You'll interact with a wide range of stakeholders both within CIT and with cross-functional teams, including Cyber Security, Risk, Compliance, Audit, as well as senior leadership. Essential Functions: Assist with critical security administration functions to protect Visa from vulnerabilities, including data analysis and research across systems, tracking and reporting activities. Partner closely with technology delivery partners and cyber security, in collaboration with CIT senior leadership, to support the overall Visa and CIT organizational goals and needs. Build processes that meet CITs business objectives and ensure compliance and completeness. As a change agent, discover opportunities for process improvements, pilot and then drive on a larger scale. Assist with executive reporting and operational technology metrics focusing on continuous improvement to maximize decision making and executive visibility. Program management and delivery of special CIO projects, as identified, to support security administration functions and processes. Guide CIT through compliance reviews and audit examinations, acting as a quarter-back to retrieve and package information from relevant experts, to ensure timely responses to internal partners and external regulators. Support rapid onboarding activities of solutions identified as critical for CIT. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience. Masters graduates must have 2+ years of relevant work experience to qualify. Excellent verbal, written, and presentation skills with strong attention to detail Demonstrated ability to effectively communicate technical and business issues and solutions to multiple organizational levels Highly proficient in Microsoft Office suite, including Excel and PowerPoint Strong organization skills, ability to multi-task, show initiative and work aggressively to meet deadlines Preferred Qualifications: Experience managing technically complex, cross-organizational, multi-stakeholder initiatives Highly proficient in Microsoft Office suite, including Excel and PowerPoint Summarizing and communicating key financial information and business strategy at an executive level Good judgment, strong common sense, and excellent attention to detail Ability to work independently with strong time management and ability to execute on multiple concurrent deliverables Proactive and solution-oriented, solid analytical and problem-solving skills, ability to think strategically Certifications in cyber security or related, meaningful experience in cyber security or vulnerability management, meaningful experience in compliance, risk, or audit roles Demonstrated flexibility and adaptability to changes in priorities, work demands, roles and responsibilities Demonstrated understanding of corporate protocol, maintaining a high level of discretion and confidentiality Experience with managing information and access within SharePoint, Tableau, other databases Strong process orientation and demonstrated knowledge of project management techniques, methodologies, and best practices Information for US Applicants For roles located in the US, the estimated salary range for this position is $104,600.00 to $ 162,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/26/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Corporate IT organization is made up of several teams that all work towards the same goal: To build, operate, and maintain the IT systems and infrastructure necessary to enable a highly connected and collaborative workforce that helps power Visa's business. With our mission in mind, we work to ensure the world is connected through the most advanced and innovative digital payment network that enables individuals, businesses, and economies to thrive. We prioritize delightful user experiences. We do not take orders, rather, we build deep partnerships with our business partners and champion proactive new ways technology can advance our business into the future. The Security, Risk and Compliance Analyst role resides on the Corporate IT (CIT) Business Operations team and directly supports Visa's Chief Information Officer (CIO) and the CIT leadership team. The team is responsible for governance and adherence to Visa corporate cyber security requirements and running point on all internal/external audit and compliance requests, with oversight for all CIT-owned applications. The position requires a program management professional with the ability to seamlessly flex between the strategic and the tactical. This role requires attention to detail and analytical rigor, as well as the ability to synthesize and streamline information for executive reporting. You'll interact with a wide range of stakeholders both within CIT and with cross-functional teams, including Cyber Security, Risk, Compliance, Audit, as well as senior leadership. Essential Functions: Assist with critical security administration functions to protect Visa from vulnerabilities, including data analysis and research across systems, tracking and reporting activities. Partner closely with technology delivery partners and cyber security, in collaboration with CIT senior leadership, to support the overall Visa and CIT organizational goals and needs. Build processes that meet CITs business objectives and ensure compliance and completeness. As a change agent, discover opportunities for process improvements, pilot and then drive on a larger scale. Assist with executive reporting and operational technology metrics focusing on continuous improvement to maximize decision making and executive visibility. Program management and delivery of special CIO projects, as identified, to support security administration functions and processes. Guide CIT through compliance reviews and audit examinations, acting as a quarter-back to retrieve and package information from relevant experts, to ensure timely responses to internal partners and external regulators. Support rapid onboarding activities of solutions identified as critical for CIT. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience. Masters graduates must have 2+ years of relevant work experience to qualify. Excellent verbal, written, and presentation skills with strong attention to detail Demonstrated ability to effectively communicate technical and business issues and solutions to multiple organizational levels Highly proficient in Microsoft Office suite, including Excel and PowerPoint Strong organization skills, ability to multi-task, show initiative and work aggressively to meet deadlines Preferred Qualifications: Experience managing technically complex, cross-organizational, multi-stakeholder initiatives Highly proficient in Microsoft Office suite, including Excel and PowerPoint Summarizing and communicating key financial information and business strategy at an executive level Good judgment, strong common sense, and excellent attention to detail Ability to work independently with strong time management and ability to execute on multiple concurrent deliverables Proactive and solution-oriented, solid analytical and problem-solving skills, ability to think strategically Certifications in cyber security or related, meaningful experience in cyber security or vulnerability management, meaningful experience in compliance, risk, or audit roles Demonstrated flexibility and adaptability to changes in priorities, work demands, roles and responsibilities Demonstrated understanding of corporate protocol, maintaining a high level of discretion and confidentiality Experience with managing information and access within SharePoint, Tableau, other databases Strong process orientation and demonstrated knowledge of project management techniques, methodologies, and best practices Information for US Applicants For roles located in the US, the estimated salary range for this position is $104,600.00 to $ 162,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
09/26/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
09/26/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
JOB DESCRIPTION Located in the metropolitan area of Sacramento, the Adventist Health corporate headquarters have been based in Roseville, California, for more than 40 years. In 2019, we unveiled our WELL-certified campus - a rejuvenating place for associates systemwide to collaborate, innovate and connect. Adventist Health Roseville and shared service teams have access to enjoy a welcoming space designed to promote well-being and inspire your best work. Job Summary: Adventist Health Roseville is seeking an Epic-Certified EHR Systems Analyst III for a full-time, day-shift position. We are looking for a strong candidate who can work primarily remotely, with the ability to travel up to 25% as required by the role. Candidates must have at least five (5) years of recent Epic Ambulatory experience. EpicCare Ambulatory certification is highly desirable , with a strong preference for candidates certified in Bones or Wisdom . Experience supporting Occupational Health or Occupational Medicine workflows in Epic is strongly preferred, including any exposure to the Epic Occupational Medicine (Occ Med) module . Leads the implementation and support of hospital information systems. Leads the planning, design, implementation, and maintenance of the existing systems and has a working knowledge of the applications for support and troubleshooting. Liaises between technical support, customers, and project teams in the design, implementation, and training of our healthcare information systems and any new enhanced systems. Utilizes comprehensive knowledge of Epic EHR system capabilities and functional use. Develops, recommends, and oversees implementation of policies and procedures for areas of responsibility. Job Requirements: Education and Work Experience: Bachelor's Degree or equivalent combination of education/related experience: Required Five years' healthcare IT application/technical experience: Required Five years' of applicable Epic application experience: Required Licenses/Certifications: Epic Certification/Accreditation in area of responsibility: Required Essential Functions: Serves as a senior member of the team, dedicated to the design, build and testing of electronic documentation solutions that support clinical and revenue cycle workflow. Leads project meetings and works cooperatively with team members to assign duties with the overall program and related projects with minimal managerial oversight. Facilitates application workflow design and application integration sessions. Designs, configures, tests, debugs, documents, and maintains programs/applications. Collaborates, researches, and analyzes to develop, configure, and modify moderately complex information systems based on or related to user system design specifications while utilizing established standards and departmental protocols. Designs and develops test scripts and materials for end-to-end workflow testing. Performs unit, system and integration testing per standards, documents outcomes. Evaluates user requests for special enhancements to systems. Collaborates with technical teams to define hardware/network requirements and to research and problem-solve technical issues. Installs and tests software per release checklist guidelines. Manages the planning and installation of automated systems. Works with end-users to develop specifications for the purchase, development and installation of software systems. Monitors progress of the plan and proposes corrective action where indicated. Utilizes appropriate planned change management models, principles and techniques in system planning, development, implementation and evaluation. Designs, develops, and monitors measurements of process improvements, including those enabled by standardized workflows. Provides ongoing support for existing computer applications. Provides support for problem resolution; escalates the problem to senior level personnel if necessary. Implements solutions, communicates to end users and tracks resolution. Analyzes incidents, identifying trends and major issues. Conducts routine status meetings with end users and leadership. Provides leadership support to analysts and team and to end-users regarding system applications. Maintains service level agreements with various end-user departments and enterprise business units. Supports the preparation and delivery of training materials and formal/informal training. Identifies educational opportunities related to standard applications and operational use of them. Develops strategies to educate analysts and support staff with focus to achieve improved operational understanding and efficiency. Leads various user group meetings as assigned. Mentors support groups to assist with their understanding of applications and processes. Handles ongoing on call duties for one or more applications which generate Incidents outside of business hours. Provides on call support as needed of the most critical applications. Troubleshoots and resolves system issues escalated by the help desk. As needed, up to 25%, travel on site to provide support during go-live events and other work-related occasions. Travel could occur during standard off-hours support times. Performs other job-related duties as assigned. Organizational Requirements: Adventist Health is committed to the safety and wellbeing of our associates and patients. Therefore, we require that all associates receive all required vaccinations as a condition of employment and annually thereafter, where applicable. Medical and religious exemptions may apply. Adventist Health participates in E-Verify. Visit for more information about E-Verify. By choosing to apply, you acknowledge that you have accessed and read the E-Verify Participation and Right to Work notices and understand the contents therein. ABOUT US Adventist Health is a faith-based, nonprofit, integrated health system serving more than 100 communities on the West Coast and Hawaii with over 440 sites of care, including 27 acute care facilities. Founded on Adventist heritage and values, Adventist Health provides care in hospitals, clinics, home care, and hospice agencies in both rural and urban communities. Our compassionate and talented team of more than 38,000 includes employees, physicians, Medical Staff, and volunteers driven in pursuit of one mission: living God's love by inspiring health, wholeness and hope.
09/26/2026
Full time
JOB DESCRIPTION Located in the metropolitan area of Sacramento, the Adventist Health corporate headquarters have been based in Roseville, California, for more than 40 years. In 2019, we unveiled our WELL-certified campus - a rejuvenating place for associates systemwide to collaborate, innovate and connect. Adventist Health Roseville and shared service teams have access to enjoy a welcoming space designed to promote well-being and inspire your best work. Job Summary: Adventist Health Roseville is seeking an Epic-Certified EHR Systems Analyst III for a full-time, day-shift position. We are looking for a strong candidate who can work primarily remotely, with the ability to travel up to 25% as required by the role. Candidates must have at least five (5) years of recent Epic Ambulatory experience. EpicCare Ambulatory certification is highly desirable , with a strong preference for candidates certified in Bones or Wisdom . Experience supporting Occupational Health or Occupational Medicine workflows in Epic is strongly preferred, including any exposure to the Epic Occupational Medicine (Occ Med) module . Leads the implementation and support of hospital information systems. Leads the planning, design, implementation, and maintenance of the existing systems and has a working knowledge of the applications for support and troubleshooting. Liaises between technical support, customers, and project teams in the design, implementation, and training of our healthcare information systems and any new enhanced systems. Utilizes comprehensive knowledge of Epic EHR system capabilities and functional use. Develops, recommends, and oversees implementation of policies and procedures for areas of responsibility. Job Requirements: Education and Work Experience: Bachelor's Degree or equivalent combination of education/related experience: Required Five years' healthcare IT application/technical experience: Required Five years' of applicable Epic application experience: Required Licenses/Certifications: Epic Certification/Accreditation in area of responsibility: Required Essential Functions: Serves as a senior member of the team, dedicated to the design, build and testing of electronic documentation solutions that support clinical and revenue cycle workflow. Leads project meetings and works cooperatively with team members to assign duties with the overall program and related projects with minimal managerial oversight. Facilitates application workflow design and application integration sessions. Designs, configures, tests, debugs, documents, and maintains programs/applications. Collaborates, researches, and analyzes to develop, configure, and modify moderately complex information systems based on or related to user system design specifications while utilizing established standards and departmental protocols. Designs and develops test scripts and materials for end-to-end workflow testing. Performs unit, system and integration testing per standards, documents outcomes. Evaluates user requests for special enhancements to systems. Collaborates with technical teams to define hardware/network requirements and to research and problem-solve technical issues. Installs and tests software per release checklist guidelines. Manages the planning and installation of automated systems. Works with end-users to develop specifications for the purchase, development and installation of software systems. Monitors progress of the plan and proposes corrective action where indicated. Utilizes appropriate planned change management models, principles and techniques in system planning, development, implementation and evaluation. Designs, develops, and monitors measurements of process improvements, including those enabled by standardized workflows. Provides ongoing support for existing computer applications. Provides support for problem resolution; escalates the problem to senior level personnel if necessary. Implements solutions, communicates to end users and tracks resolution. Analyzes incidents, identifying trends and major issues. Conducts routine status meetings with end users and leadership. Provides leadership support to analysts and team and to end-users regarding system applications. Maintains service level agreements with various end-user departments and enterprise business units. Supports the preparation and delivery of training materials and formal/informal training. Identifies educational opportunities related to standard applications and operational use of them. Develops strategies to educate analysts and support staff with focus to achieve improved operational understanding and efficiency. Leads various user group meetings as assigned. Mentors support groups to assist with their understanding of applications and processes. Handles ongoing on call duties for one or more applications which generate Incidents outside of business hours. Provides on call support as needed of the most critical applications. Troubleshoots and resolves system issues escalated by the help desk. As needed, up to 25%, travel on site to provide support during go-live events and other work-related occasions. Travel could occur during standard off-hours support times. Performs other job-related duties as assigned. Organizational Requirements: Adventist Health is committed to the safety and wellbeing of our associates and patients. Therefore, we require that all associates receive all required vaccinations as a condition of employment and annually thereafter, where applicable. Medical and religious exemptions may apply. Adventist Health participates in E-Verify. Visit for more information about E-Verify. By choosing to apply, you acknowledge that you have accessed and read the E-Verify Participation and Right to Work notices and understand the contents therein. ABOUT US Adventist Health is a faith-based, nonprofit, integrated health system serving more than 100 communities on the West Coast and Hawaii with over 440 sites of care, including 27 acute care facilities. Founded on Adventist heritage and values, Adventist Health provides care in hospitals, clinics, home care, and hospice agencies in both rural and urban communities. Our compassionate and talented team of more than 38,000 includes employees, physicians, Medical Staff, and volunteers driven in pursuit of one mission: living God's love by inspiring health, wholeness and hope.
JOB DESCRIPTION Located in the metropolitan area of Sacramento, the Adventist Health corporate headquarters have been based in Roseville, California, for more than 40 years. In 2019, we unveiled our WELL-certified campus - a rejuvenating place for associates systemwide to collaborate, innovate and connect. Adventist Health Roseville and shared service teams have access to enjoy a welcoming space designed to promote well-being and inspire your best work. Job Summary: Adventist Health Roseville is seeking an Epic-Certified EHR Systems Analyst III for a full-time, day-shift position. We are looking for a strong candidate who can work primarily remotely, with the ability to travel up to 25% as required by the role. Candidates must have at least five (5) years of recent Epic Ambulatory experience. EpicCare Ambulatory certification is highly desirable , with a strong preference for candidates certified in Bones or Wisdom . Experience supporting Occupational Health or Occupational Medicine workflows in Epic is strongly preferred, including any exposure to the Epic Occupational Medicine (Occ Med) module . Leads the implementation and support of hospital information systems. Leads the planning, design, implementation, and maintenance of the existing systems and has a working knowledge of the applications for support and troubleshooting. Liaises between technical support, customers, and project teams in the design, implementation, and training of our healthcare information systems and any new enhanced systems. Utilizes comprehensive knowledge of Epic EHR system capabilities and functional use. Develops, recommends, and oversees implementation of policies and procedures for areas of responsibility. Job Requirements: Education and Work Experience: Bachelor's Degree or equivalent combination of education/related experience: Required Five years' healthcare IT application/technical experience: Required Five years' of applicable Epic application experience: Required Licenses/Certifications: Epic Certification/Accreditation in area of responsibility: Required Essential Functions: Serves as a senior member of the team, dedicated to the design, build and testing of electronic documentation solutions that support clinical and revenue cycle workflow. Leads project meetings and works cooperatively with team members to assign duties with the overall program and related projects with minimal managerial oversight. Facilitates application workflow design and application integration sessions. Designs, configures, tests, debugs, documents, and maintains programs/applications. Collaborates, researches, and analyzes to develop, configure, and modify moderately complex information systems based on or related to user system design specifications while utilizing established standards and departmental protocols. Designs and develops test scripts and materials for end-to-end workflow testing. Performs unit, system and integration testing per standards, documents outcomes. Evaluates user requests for special enhancements to systems. Collaborates with technical teams to define hardware/network requirements and to research and problem-solve technical issues. Installs and tests software per release checklist guidelines. Manages the planning and installation of automated systems. Works with end-users to develop specifications for the purchase, development and installation of software systems. Monitors progress of the plan and proposes corrective action where indicated. Utilizes appropriate planned change management models, principles and techniques in system planning, development, implementation and evaluation. Designs, develops, and monitors measurements of process improvements, including those enabled by standardized workflows. Provides ongoing support for existing computer applications. Provides support for problem resolution; escalates the problem to senior level personnel if necessary. Implements solutions, communicates to end users and tracks resolution. Analyzes incidents, identifying trends and major issues. Conducts routine status meetings with end users and leadership. Provides leadership support to analysts and team and to end-users regarding system applications. Maintains service level agreements with various end-user departments and enterprise business units. Supports the preparation and delivery of training materials and formal/informal training. Identifies educational opportunities related to standard applications and operational use of them. Develops strategies to educate analysts and support staff with focus to achieve improved operational understanding and efficiency. Leads various user group meetings as assigned. Mentors support groups to assist with their understanding of applications and processes. Handles ongoing on call duties for one or more applications which generate Incidents outside of business hours. Provides on call support as needed of the most critical applications. Troubleshoots and resolves system issues escalated by the help desk. As needed, up to 25%, travel on site to provide support during go-live events and other work-related occasions. Travel could occur during standard off-hours support times. Performs other job-related duties as assigned. Organizational Requirements: Adventist Health is committed to the safety and wellbeing of our associates and patients. Therefore, we require that all associates receive all required vaccinations as a condition of employment and annually thereafter, where applicable. Medical and religious exemptions may apply. Adventist Health participates in E-Verify. Visit for more information about E-Verify. By choosing to apply, you acknowledge that you have accessed and read the E-Verify Participation and Right to Work notices and understand the contents therein. ABOUT US Adventist Health is a faith-based, nonprofit, integrated health system serving more than 100 communities on the West Coast and Hawaii with over 440 sites of care, including 27 acute care facilities. Founded on Adventist heritage and values, Adventist Health provides care in hospitals, clinics, home care, and hospice agencies in both rural and urban communities. Our compassionate and talented team of more than 38,000 includes employees, physicians, Medical Staff, and volunteers driven in pursuit of one mission: living God's love by inspiring health, wholeness and hope.
09/26/2026
Full time
JOB DESCRIPTION Located in the metropolitan area of Sacramento, the Adventist Health corporate headquarters have been based in Roseville, California, for more than 40 years. In 2019, we unveiled our WELL-certified campus - a rejuvenating place for associates systemwide to collaborate, innovate and connect. Adventist Health Roseville and shared service teams have access to enjoy a welcoming space designed to promote well-being and inspire your best work. Job Summary: Adventist Health Roseville is seeking an Epic-Certified EHR Systems Analyst III for a full-time, day-shift position. We are looking for a strong candidate who can work primarily remotely, with the ability to travel up to 25% as required by the role. Candidates must have at least five (5) years of recent Epic Ambulatory experience. EpicCare Ambulatory certification is highly desirable , with a strong preference for candidates certified in Bones or Wisdom . Experience supporting Occupational Health or Occupational Medicine workflows in Epic is strongly preferred, including any exposure to the Epic Occupational Medicine (Occ Med) module . Leads the implementation and support of hospital information systems. Leads the planning, design, implementation, and maintenance of the existing systems and has a working knowledge of the applications for support and troubleshooting. Liaises between technical support, customers, and project teams in the design, implementation, and training of our healthcare information systems and any new enhanced systems. Utilizes comprehensive knowledge of Epic EHR system capabilities and functional use. Develops, recommends, and oversees implementation of policies and procedures for areas of responsibility. Job Requirements: Education and Work Experience: Bachelor's Degree or equivalent combination of education/related experience: Required Five years' healthcare IT application/technical experience: Required Five years' of applicable Epic application experience: Required Licenses/Certifications: Epic Certification/Accreditation in area of responsibility: Required Essential Functions: Serves as a senior member of the team, dedicated to the design, build and testing of electronic documentation solutions that support clinical and revenue cycle workflow. Leads project meetings and works cooperatively with team members to assign duties with the overall program and related projects with minimal managerial oversight. Facilitates application workflow design and application integration sessions. Designs, configures, tests, debugs, documents, and maintains programs/applications. Collaborates, researches, and analyzes to develop, configure, and modify moderately complex information systems based on or related to user system design specifications while utilizing established standards and departmental protocols. Designs and develops test scripts and materials for end-to-end workflow testing. Performs unit, system and integration testing per standards, documents outcomes. Evaluates user requests for special enhancements to systems. Collaborates with technical teams to define hardware/network requirements and to research and problem-solve technical issues. Installs and tests software per release checklist guidelines. Manages the planning and installation of automated systems. Works with end-users to develop specifications for the purchase, development and installation of software systems. Monitors progress of the plan and proposes corrective action where indicated. Utilizes appropriate planned change management models, principles and techniques in system planning, development, implementation and evaluation. Designs, develops, and monitors measurements of process improvements, including those enabled by standardized workflows. Provides ongoing support for existing computer applications. Provides support for problem resolution; escalates the problem to senior level personnel if necessary. Implements solutions, communicates to end users and tracks resolution. Analyzes incidents, identifying trends and major issues. Conducts routine status meetings with end users and leadership. Provides leadership support to analysts and team and to end-users regarding system applications. Maintains service level agreements with various end-user departments and enterprise business units. Supports the preparation and delivery of training materials and formal/informal training. Identifies educational opportunities related to standard applications and operational use of them. Develops strategies to educate analysts and support staff with focus to achieve improved operational understanding and efficiency. Leads various user group meetings as assigned. Mentors support groups to assist with their understanding of applications and processes. Handles ongoing on call duties for one or more applications which generate Incidents outside of business hours. Provides on call support as needed of the most critical applications. Troubleshoots and resolves system issues escalated by the help desk. As needed, up to 25%, travel on site to provide support during go-live events and other work-related occasions. Travel could occur during standard off-hours support times. Performs other job-related duties as assigned. Organizational Requirements: Adventist Health is committed to the safety and wellbeing of our associates and patients. Therefore, we require that all associates receive all required vaccinations as a condition of employment and annually thereafter, where applicable. Medical and religious exemptions may apply. Adventist Health participates in E-Verify. Visit for more information about E-Verify. By choosing to apply, you acknowledge that you have accessed and read the E-Verify Participation and Right to Work notices and understand the contents therein. ABOUT US Adventist Health is a faith-based, nonprofit, integrated health system serving more than 100 communities on the West Coast and Hawaii with over 440 sites of care, including 27 acute care facilities. Founded on Adventist heritage and values, Adventist Health provides care in hospitals, clinics, home care, and hospice agencies in both rural and urban communities. Our compassionate and talented team of more than 38,000 includes employees, physicians, Medical Staff, and volunteers driven in pursuit of one mission: living God's love by inspiring health, wholeness and hope.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details
09/25/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details
09/25/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details
09/25/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details
09/25/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details
09/25/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details