Trinet
Atlanta, Georgia
TriNet is a leading provider of comprehensive human resources solutions for small to mid-size businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers' compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about innovation and making an impact on the large SMB market, come join us as we power our clients' business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody's perfect - and we encourage you to apply. You may just be the right candidate for this or other roles. Role Overview As part of the Enterprise Data & Analytics team, the Senior Business Data Analyst - Planning & Modeling is responsible for leading functional analysis and conceptual solution design scenario planning, predictive modeling, and advanced analytics use cases. This role focuses on bridging business-driven modeling needs with technical implementation-partnering with Analytics and business teams to understand modeling methodologies, assumptions, and decisioning requirements, and translating them into scalable, reusable frameworks built on modern data platforms. Acting as the connective layer between model designers, end users, and engineering teams, this role ensures that models are not only analytically sound, but also operationalized as robust, scalable data solutions that drive consistent, enterprise-wide decision-making. Locations Atlanta, Georgia (In Office) Key Responsibilities Scenario Planning & Predictive Modeling Partner directly with model designers and end users to understand how models are constructed, used, and drive decision-making. Translate modeling approaches, assumptions, and workflows into clear functional requirements and structured logic for implementation by engineering teams. Ensure alignment between intended model design, business usage, and technical implementation, maintaining fidelity as models are operationalized. Act as the primary liaison between business stakeholders and engineering, ensuring models are accurately represented, scalable, and reusable within the data platform. Lead requirements discovery and facilitation for modeling use cases. Translate business needs into structured modeling logic and technical requirements (inputs, calculations, outputs). Document assumptions, business rules, and dependencies to ensure transparency and reproducibility. Ensure alignment of decisioning needs and intended model outcomes. Business & Functional Analysis Model Architecture & Data Understanding Define end-to-end model architecture, including: Inputs (source systems, drivers) Transformations and calculation logic Outputs (metrics, KPIs, reporting layers) Analyze and document data flows from source model consumption. Ensure alignment with data governance, lineage, and quality standards. Conceptual & Functional Solutioning Design modeling frameworks and patterns prior to technical implementation. Evaluate multiple approaches (e.g., centralized vs modular models, batch vs near real-time). Identify edge cases, gaps, and constraints that impact model accuracy and usability. Ensure solutions are extensible across multiple business domains and use cases. Delivery Partnership & Execution Support Partner with data engineering to operationalize models in the data lake and pipelines. Act as the functional lead through delivery, supporting build, validation, and UAT. Ensure alignment between business stakeholders and engineering throughout delivery. Validation & Continuous Improvement Perform model validation, reconciliation, and sensitivity analysis. Continuously refine models based on business feedback and evolving assumptions. Identify opportunities to standardize and scale modeling components. Establish best practices for scenario planning and predictive modeling on modern data platforms. Drive adoption of reusable modeling frameworks and patterns. Raise the bar on functional clarity, model documentation, and design quality. Thought Leadership Education Qualifications Bachelor's degree in Finance, Economics, Data Analytics, Information Management, Computer Science, or related field Experience Qualifications 6+ years in business analysis, data analysis, or modeling roles (financial, operational, or analytical). Experience building scenario planning, forecasting, or predictive modeling frameworks. Experience working across Analytics, Finance, and Engineering teams. Experience with modern data platforms (data lakes, pipelines) preferred. Skills & Abilities Strong expertise in scenario planning, forecasting, or predictive modeling. Ability to translate business needs into model logic and technical requirements. Strong understanding of driver-based modeling and dependencies. Familiarity with data platforms, SQL, and data pipelines (ETL/ELT). Strong communication skills across business and technical stakeholders. Experience with BI tools (Power BI, Tableau) preferred. Travel Requirements Minimal Travel Required Work Environment Work in clean, pleasant, and comfortable office. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. This position is 100% in office. The preferred location for this role is Atlanta, GA, and the salary range for this location is $70,800.00 to $141,600.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company's discretion. The candidate's final salary offer will be based on the candidate's skills, education, work location and experience. A candidate's compensation may also include bonuses consistent with TriNet's corporate bonus plan. Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact to request such an accommodation.
TriNet is a leading provider of comprehensive human resources solutions for small to mid-size businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers' compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about innovation and making an impact on the large SMB market, come join us as we power our clients' business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody's perfect - and we encourage you to apply. You may just be the right candidate for this or other roles. Role Overview As part of the Enterprise Data & Analytics team, the Senior Business Data Analyst - Planning & Modeling is responsible for leading functional analysis and conceptual solution design scenario planning, predictive modeling, and advanced analytics use cases. This role focuses on bridging business-driven modeling needs with technical implementation-partnering with Analytics and business teams to understand modeling methodologies, assumptions, and decisioning requirements, and translating them into scalable, reusable frameworks built on modern data platforms. Acting as the connective layer between model designers, end users, and engineering teams, this role ensures that models are not only analytically sound, but also operationalized as robust, scalable data solutions that drive consistent, enterprise-wide decision-making. Locations Atlanta, Georgia (In Office) Key Responsibilities Scenario Planning & Predictive Modeling Partner directly with model designers and end users to understand how models are constructed, used, and drive decision-making. Translate modeling approaches, assumptions, and workflows into clear functional requirements and structured logic for implementation by engineering teams. Ensure alignment between intended model design, business usage, and technical implementation, maintaining fidelity as models are operationalized. Act as the primary liaison between business stakeholders and engineering, ensuring models are accurately represented, scalable, and reusable within the data platform. Lead requirements discovery and facilitation for modeling use cases. Translate business needs into structured modeling logic and technical requirements (inputs, calculations, outputs). Document assumptions, business rules, and dependencies to ensure transparency and reproducibility. Ensure alignment of decisioning needs and intended model outcomes. Business & Functional Analysis Model Architecture & Data Understanding Define end-to-end model architecture, including: Inputs (source systems, drivers) Transformations and calculation logic Outputs (metrics, KPIs, reporting layers) Analyze and document data flows from source model consumption. Ensure alignment with data governance, lineage, and quality standards. Conceptual & Functional Solutioning Design modeling frameworks and patterns prior to technical implementation. Evaluate multiple approaches (e.g., centralized vs modular models, batch vs near real-time). Identify edge cases, gaps, and constraints that impact model accuracy and usability. Ensure solutions are extensible across multiple business domains and use cases. Delivery Partnership & Execution Support Partner with data engineering to operationalize models in the data lake and pipelines. Act as the functional lead through delivery, supporting build, validation, and UAT. Ensure alignment between business stakeholders and engineering throughout delivery. Validation & Continuous Improvement Perform model validation, reconciliation, and sensitivity analysis. Continuously refine models based on business feedback and evolving assumptions. Identify opportunities to standardize and scale modeling components. Establish best practices for scenario planning and predictive modeling on modern data platforms. Drive adoption of reusable modeling frameworks and patterns. Raise the bar on functional clarity, model documentation, and design quality. Thought Leadership Education Qualifications Bachelor's degree in Finance, Economics, Data Analytics, Information Management, Computer Science, or related field Experience Qualifications 6+ years in business analysis, data analysis, or modeling roles (financial, operational, or analytical). Experience building scenario planning, forecasting, or predictive modeling frameworks. Experience working across Analytics, Finance, and Engineering teams. Experience with modern data platforms (data lakes, pipelines) preferred. Skills & Abilities Strong expertise in scenario planning, forecasting, or predictive modeling. Ability to translate business needs into model logic and technical requirements. Strong understanding of driver-based modeling and dependencies. Familiarity with data platforms, SQL, and data pipelines (ETL/ELT). Strong communication skills across business and technical stakeholders. Experience with BI tools (Power BI, Tableau) preferred. Travel Requirements Minimal Travel Required Work Environment Work in clean, pleasant, and comfortable office. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. This position is 100% in office. The preferred location for this role is Atlanta, GA, and the salary range for this location is $70,800.00 to $141,600.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company's discretion. The candidate's final salary offer will be based on the candidate's skills, education, work location and experience. A candidate's compensation may also include bonuses consistent with TriNet's corporate bonus plan. Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact to request such an accommodation.
BC Forward
Brooklyn, Ohio
Job Title: Senior Data Management Business Analyst (1111) Location: Brooklyn, OH 44144 (Onsite at 4910 Tiedeman Rd) Duration: Contract - 10 months Pay Range: $60/hr $65/hr (W2) Job ID: 407853 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Data Management Business Analyst to join our Enterprise Data & Analytics Services (EDAS) team. The ideal candidate will have strong experience in enterprise data analysis, data management, data governance, and source-to-target mapping and a proven ability to translate complex business needs into actionable data requirements and deliver scalable, governed data solutions across on-prem and cloud platforms. Responsibilities: Engage stakeholders to elicit, analyze, document, and validate enterprise data requirements, including CDEs, business rules, data quality expectations, metadata, and lineage. Translate business needs into data specifications, source-to-target mappings, transformation logic, and consumption requirements for analytics, reporting, and operations. Perform data profiling, impact and gap analysis, root-cause analysis, and validation across multiple systems and platforms including GCP and BigQuery. Analyze and document end-to-end Data Supply Chain processes, integrations, and data movement, including review of Ab Initio graphs and ETL processes. Create and maintain current-state and future-state data flow diagrams, business process flows, and detailed mapping documentation. Support data lineage and traceability from source through analytics and operational layers, documenting control points and reconciliation processes. Partner with Data Engineers, Data Modelers, and Data Architects to align designs with enterprise standards and target architecture. Support Agile delivery through requirements clarification, testing support, UAT assistance, and implementation readiness. Advance Data Governance practices by defining CDEs, supporting stewardship, improving metadata, and documenting lineage in Alation. Prepare executive-ready presentations, impact assessments, status updates, and decision-support materials. Required Skills & Qualifications: Advanced SQL and data analysis capabilities with strong analytical problem-solving skills. Deep understanding of relational databases, data warehousing, enterprise data architecture, and integration concepts. Proficiency creating source-to-target mappings, transformation specifications, business rules, and data flow documentation. Experience with data profiling, impact assessments, lineage analysis, validation, and data quality controls. Familiarity with metadata management and data governance practices, including CDE definition and stewardship. Experience with Jira and Confluence and strong facilitation and documentation skills. Education: Bachelor's degree in Business, Information Systems, Computer Science, Analytics, Data Management, Finance, or related field, or equivalent experience. Experience level: 8+ years in Business Analysis, Data Analysis, Data Management, Integration, Governance, or Warehousing within large enterprises. Preferred Skills: 10+ years supporting enterprise data initiatives in Financial Services or Banking. Experience with Enterprise Data Governance, Data Quality, Regulatory Data, and Data Risk programs, including CDE certification and lineage. Hands-on familiarity with Alation Data Catalog and documenting lineage, metadata, and business definitions. Experience reviewing Ab Initio data flows, integrations, and mappings. Experience with Google Cloud Platform and BigQuery and with cloud migration or modernization initiatives. Agile/Scrum delivery experience. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
Job Title: Senior Data Management Business Analyst (1111) Location: Brooklyn, OH 44144 (Onsite at 4910 Tiedeman Rd) Duration: Contract - 10 months Pay Range: $60/hr $65/hr (W2) Job ID: 407853 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Data Management Business Analyst to join our Enterprise Data & Analytics Services (EDAS) team. The ideal candidate will have strong experience in enterprise data analysis, data management, data governance, and source-to-target mapping and a proven ability to translate complex business needs into actionable data requirements and deliver scalable, governed data solutions across on-prem and cloud platforms. Responsibilities: Engage stakeholders to elicit, analyze, document, and validate enterprise data requirements, including CDEs, business rules, data quality expectations, metadata, and lineage. Translate business needs into data specifications, source-to-target mappings, transformation logic, and consumption requirements for analytics, reporting, and operations. Perform data profiling, impact and gap analysis, root-cause analysis, and validation across multiple systems and platforms including GCP and BigQuery. Analyze and document end-to-end Data Supply Chain processes, integrations, and data movement, including review of Ab Initio graphs and ETL processes. Create and maintain current-state and future-state data flow diagrams, business process flows, and detailed mapping documentation. Support data lineage and traceability from source through analytics and operational layers, documenting control points and reconciliation processes. Partner with Data Engineers, Data Modelers, and Data Architects to align designs with enterprise standards and target architecture. Support Agile delivery through requirements clarification, testing support, UAT assistance, and implementation readiness. Advance Data Governance practices by defining CDEs, supporting stewardship, improving metadata, and documenting lineage in Alation. Prepare executive-ready presentations, impact assessments, status updates, and decision-support materials. Required Skills & Qualifications: Advanced SQL and data analysis capabilities with strong analytical problem-solving skills. Deep understanding of relational databases, data warehousing, enterprise data architecture, and integration concepts. Proficiency creating source-to-target mappings, transformation specifications, business rules, and data flow documentation. Experience with data profiling, impact assessments, lineage analysis, validation, and data quality controls. Familiarity with metadata management and data governance practices, including CDE definition and stewardship. Experience with Jira and Confluence and strong facilitation and documentation skills. Education: Bachelor's degree in Business, Information Systems, Computer Science, Analytics, Data Management, Finance, or related field, or equivalent experience. Experience level: 8+ years in Business Analysis, Data Analysis, Data Management, Integration, Governance, or Warehousing within large enterprises. Preferred Skills: 10+ years supporting enterprise data initiatives in Financial Services or Banking. Experience with Enterprise Data Governance, Data Quality, Regulatory Data, and Data Risk programs, including CDE certification and lineage. Hands-on familiarity with Alation Data Catalog and documenting lineage, metadata, and business definitions. Experience reviewing Ab Initio data flows, integrations, and mappings. Experience with Google Cloud Platform and BigQuery and with cloud migration or modernization initiatives. Agile/Scrum delivery experience. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
Butcher Power Products
Rancho Cordova, California
Butcher Power Products (BPP) designs and manufactures mission critical and industrial power solutions for essential infrastructure nationwide. Headquartered in Sacramento, CA, our teams collaborate closely across engineering, manufacturing, and operations to build reliable, high quality systems and take pride in delivering work that truly matters. The Role: As the Business Intelligence Manager, you run BPP's reporting environment day to day. Reporting to the Director of Data & Analytics, you build and maintain the Power BI reporting the business depends on, operate the Microsoft Fabric and Lakehouse environment, and directly manage the Data Analyst and Data Intern who support them. The Director sets platform architecture, governance standards, and KPI definitions-you execute against them, turning requests from Finance, Operations, Manufacturing, Inventory, Sales, and Projects into delivered, accurate, refreshed reporting while keeping the environment stable, performant, and documented. Key Responsibilities: Team Leadership & Delivery Management: • Day-to-Day Team Management: Direct the daily work of the D.A.T.A. Department's Data Analyst and Data Intern-assigning and reviewing work, unblocking technical issues, and developing skills through mentorship and peer review.• Delivery Planning: Translate department priorities set by the Director into scheduled work, communicate realistic delivery timelines to requesters, and report progress, blockers, and risk upward.• Standards Enforcement: Apply and enforce the department's data governance, documentation, naming, and development standards across all reporting work produced by the team. Reporting & Business Intelligence Delivery: • Report Development: Build, publish, and maintain the Power BI reports and dashboards that populate BPP's tiered reporting structure-executive summary, departmental detail, and transaction-level drill-through-spanning Finance, Operations, Inventory, Manufacturing, Sales, and Projects.• Report Catalog Ownership: Own the day-to-day lifecycle of the report catalog: intake, development, validation, release, version control, and retirement of obsolete content.• Request Intake & Prioritization: Run the reporting request queue-triaging incoming asks, scoping requirements with the business, setting delivery expectations, and escalating scope or resourcing conflicts to the Director.• Semantic Model Maintenance: Extend and maintain BPP's core Power BI semantic model within the shared dimensions, certified measures, and business definitions established by the Director-adding measures and tables as new reporting needs arise without fragmenting the model.• KPI Consistency: Ensure defined KPIs are calculated identically across every report, so the same metric returns the same number regardless of where it is viewed.• Self-Service Enablement: Publish certified datasets, report templates, and user documentation, and deliver hands-on training that lets business users answer their own questions without creating shadow reporting. Fabric, Power BI & Lakehouse Operations: • Workspace Administration: Administer Microsoft Fabric and Power BI workspaces day to day-workspace structure, deployment pipelines, workspace roles, app distribution, and promotion from development to production. • Lakehouse & Pipeline Operations: Operate and maintain the Lakehouse environment and the pipelines feeding it-monitoring ingestion from Dynamics 365 Finance & Operations, Sales Hub, and SQL sources, and resolving load failures before they reach the business.• Refresh & Performance Monitoring: Monitor refresh schedules, capacity utilization, and query performance-troubleshooting failures, optimizing slow models and reports, and reporting environment health to the Director.• Access & Security Administration: Administer report access, row-level security, and workspace permissions in accordance with the data governance and sensitivity standards defined for the department.• Capacity & Cost Monitoring: Track Fabric capacity consumption and licensing usage, flagging cost, throttling, and scaling risks with recommended remediation.• First-Line Support: Serve as first-line resolution for reporting and data issues routed through the enterprise intake and escalation model-driving them to closure and escalating platform- or ERP-level problems to the Director with clear root-cause detail. Cross-Functional Collaboration: • Requirements Gathering: Work directly with Finance, Operations, Inventory, Manufacturing, Sales, and Projects to turn operational questions into report requirements, validating that delivered output answers the question that was actually asked.• Data Validation: Partner with functional owners and departmental super-users to reconcile report output against source system records and confirm accuracy before release to the business.• ERP Change Coordination: Coordinate with the Director and implementation partners on how Dynamics 365 configuration and process changes affect downstream reporting, adjusting models and reports ahead of each release. Qualifications: Required: Experience: 5+ years in business intelligence, analytics, or data engineering, including 2+ years leading a small team or owning a production reporting environment; this role will manage a Data Analyst and Data Intern. Education: Bachelor's degree in Computer Science, Information Technology, Information Systems, Economics, Business Intelligence, or a related field. Team Leadership: Demonstrated ability to direct the daily work of a Data Analyst and Data Intern, review technical output, and develop staff, while partnering effectively with non-technical stakeholders across the business. Technical Mastery: - Advanced Power BI-DAX, Power Query, semantic modeling, deployment pipelines, and workspace administration.- Hands-on Microsoft Fabric experience-Lakehouse, data pipelines, notebooks, and capacity monitoring.- Strong SQL and dimensional (star schema) data modeling; working proficiency in Python (PySpark).- Working knowledge of Dynamics 365 Finance & Operations and Dataverse data structures. Desired: Domain Knowledge (Preferred): Experience with manufacturing data including Bills of Materials (BOMs), production orders, inventory tracking, and industrial supply chain logic. Traits That Fit BPP: • Operational Discipline: You treat a failed refresh or a wrong number as an urgent problem, and you build the checks that keep it from happening twice.• Service Mindset: You are responsive to the business, set clear expectations, and follow through on what you commit to.• Meticulous Ownership: You hold a high bar for data integrity, documentation, and delivery quality, and expect the same from your team.• Bias for Action: You move with urgency and decisiveness while never sacrificing quality or accuracy. Core Competencies: Technical Leadership: Coaches and guides the Data Analyst and Data Intern while maintaining high standards for BI delivery, documentation, and governance. Data Integrity & Quality: Applies rigor to validation, reconciliation, refresh monitoring, and KPI consistency. Business Partnership: Translates operational needs into clear reporting requirements and communicates progress, tradeoffs, and risks. Execution & Prioritization: Manages intake, delivery timelines, blockers, and competing business requests with urgency and clarity. Systems Thinking: Understands how ERP, Fabric, Lakehouse, semantic models, and downstream reports connect across the business. Continuous Improvement: Identifies opportunities to simplify reporting, improve self-service, and strengthen reporting standards. CompensationThe base pay range for this role is $115,000 - $140,000 per year. Equal Opportunity Employer Butcher Power Products is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. If you require a reasonable accommodation during the application or interview process, please let us know. Compensation ranges are provided in accordance with applicable state and local pay transparency laws. PI0a213d8205ba-8210
Butcher Power Products (BPP) designs and manufactures mission critical and industrial power solutions for essential infrastructure nationwide. Headquartered in Sacramento, CA, our teams collaborate closely across engineering, manufacturing, and operations to build reliable, high quality systems and take pride in delivering work that truly matters. The Role: As the Business Intelligence Manager, you run BPP's reporting environment day to day. Reporting to the Director of Data & Analytics, you build and maintain the Power BI reporting the business depends on, operate the Microsoft Fabric and Lakehouse environment, and directly manage the Data Analyst and Data Intern who support them. The Director sets platform architecture, governance standards, and KPI definitions-you execute against them, turning requests from Finance, Operations, Manufacturing, Inventory, Sales, and Projects into delivered, accurate, refreshed reporting while keeping the environment stable, performant, and documented. Key Responsibilities: Team Leadership & Delivery Management: • Day-to-Day Team Management: Direct the daily work of the D.A.T.A. Department's Data Analyst and Data Intern-assigning and reviewing work, unblocking technical issues, and developing skills through mentorship and peer review.• Delivery Planning: Translate department priorities set by the Director into scheduled work, communicate realistic delivery timelines to requesters, and report progress, blockers, and risk upward.• Standards Enforcement: Apply and enforce the department's data governance, documentation, naming, and development standards across all reporting work produced by the team. Reporting & Business Intelligence Delivery: • Report Development: Build, publish, and maintain the Power BI reports and dashboards that populate BPP's tiered reporting structure-executive summary, departmental detail, and transaction-level drill-through-spanning Finance, Operations, Inventory, Manufacturing, Sales, and Projects.• Report Catalog Ownership: Own the day-to-day lifecycle of the report catalog: intake, development, validation, release, version control, and retirement of obsolete content.• Request Intake & Prioritization: Run the reporting request queue-triaging incoming asks, scoping requirements with the business, setting delivery expectations, and escalating scope or resourcing conflicts to the Director.• Semantic Model Maintenance: Extend and maintain BPP's core Power BI semantic model within the shared dimensions, certified measures, and business definitions established by the Director-adding measures and tables as new reporting needs arise without fragmenting the model.• KPI Consistency: Ensure defined KPIs are calculated identically across every report, so the same metric returns the same number regardless of where it is viewed.• Self-Service Enablement: Publish certified datasets, report templates, and user documentation, and deliver hands-on training that lets business users answer their own questions without creating shadow reporting. Fabric, Power BI & Lakehouse Operations: • Workspace Administration: Administer Microsoft Fabric and Power BI workspaces day to day-workspace structure, deployment pipelines, workspace roles, app distribution, and promotion from development to production. • Lakehouse & Pipeline Operations: Operate and maintain the Lakehouse environment and the pipelines feeding it-monitoring ingestion from Dynamics 365 Finance & Operations, Sales Hub, and SQL sources, and resolving load failures before they reach the business.• Refresh & Performance Monitoring: Monitor refresh schedules, capacity utilization, and query performance-troubleshooting failures, optimizing slow models and reports, and reporting environment health to the Director.• Access & Security Administration: Administer report access, row-level security, and workspace permissions in accordance with the data governance and sensitivity standards defined for the department.• Capacity & Cost Monitoring: Track Fabric capacity consumption and licensing usage, flagging cost, throttling, and scaling risks with recommended remediation.• First-Line Support: Serve as first-line resolution for reporting and data issues routed through the enterprise intake and escalation model-driving them to closure and escalating platform- or ERP-level problems to the Director with clear root-cause detail. Cross-Functional Collaboration: • Requirements Gathering: Work directly with Finance, Operations, Inventory, Manufacturing, Sales, and Projects to turn operational questions into report requirements, validating that delivered output answers the question that was actually asked.• Data Validation: Partner with functional owners and departmental super-users to reconcile report output against source system records and confirm accuracy before release to the business.• ERP Change Coordination: Coordinate with the Director and implementation partners on how Dynamics 365 configuration and process changes affect downstream reporting, adjusting models and reports ahead of each release. Qualifications: Required: Experience: 5+ years in business intelligence, analytics, or data engineering, including 2+ years leading a small team or owning a production reporting environment; this role will manage a Data Analyst and Data Intern. Education: Bachelor's degree in Computer Science, Information Technology, Information Systems, Economics, Business Intelligence, or a related field. Team Leadership: Demonstrated ability to direct the daily work of a Data Analyst and Data Intern, review technical output, and develop staff, while partnering effectively with non-technical stakeholders across the business. Technical Mastery: - Advanced Power BI-DAX, Power Query, semantic modeling, deployment pipelines, and workspace administration.- Hands-on Microsoft Fabric experience-Lakehouse, data pipelines, notebooks, and capacity monitoring.- Strong SQL and dimensional (star schema) data modeling; working proficiency in Python (PySpark).- Working knowledge of Dynamics 365 Finance & Operations and Dataverse data structures. Desired: Domain Knowledge (Preferred): Experience with manufacturing data including Bills of Materials (BOMs), production orders, inventory tracking, and industrial supply chain logic. Traits That Fit BPP: • Operational Discipline: You treat a failed refresh or a wrong number as an urgent problem, and you build the checks that keep it from happening twice.• Service Mindset: You are responsive to the business, set clear expectations, and follow through on what you commit to.• Meticulous Ownership: You hold a high bar for data integrity, documentation, and delivery quality, and expect the same from your team.• Bias for Action: You move with urgency and decisiveness while never sacrificing quality or accuracy. Core Competencies: Technical Leadership: Coaches and guides the Data Analyst and Data Intern while maintaining high standards for BI delivery, documentation, and governance. Data Integrity & Quality: Applies rigor to validation, reconciliation, refresh monitoring, and KPI consistency. Business Partnership: Translates operational needs into clear reporting requirements and communicates progress, tradeoffs, and risks. Execution & Prioritization: Manages intake, delivery timelines, blockers, and competing business requests with urgency and clarity. Systems Thinking: Understands how ERP, Fabric, Lakehouse, semantic models, and downstream reports connect across the business. Continuous Improvement: Identifies opportunities to simplify reporting, improve self-service, and strengthen reporting standards. CompensationThe base pay range for this role is $115,000 - $140,000 per year. Equal Opportunity Employer Butcher Power Products is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. If you require a reasonable accommodation during the application or interview process, please let us know. Compensation ranges are provided in accordance with applicable state and local pay transparency laws. PI0a213d8205ba-8210