Silicon Valley Recruiting LLC
Branford, Connecticut
Job Description Job Description Business Intelligence (BI) Systems Analyst Industry: Manufacturing Department: Finance / Information Technology Employment Type: Full-Time, Onsite Location: Branford, CT. Salary Range: $80,000-$90,000/year Work schedule: Monday-Thursday: Arrive in office between 6-9am. Mandatory 9 hour work day. Fridays: 6-1, or 9-4. Every other Friday off. Position Overview Our client, an established manufacturing company, is seeking a Business Intelligence (BI) Systems Analyst to support business intelligence, data analytics, ERP administration, and reporting automation across the organization. This position plays a key role in transforming complex business and operational data into meaningful, actionable insights that support strategic decision-making and operational efficiency. The ideal candidate will have a strong background in SQL, Oracle databases, Power BI, and ERP systems , along with experience working in a manufacturing environment. This individual will collaborate with Finance, IT, Operations, and other departments to improve data accessibility, automate reporting, optimize business processes, and support ongoing systems initiatives. Key Responsibilities Business Intelligence & Data Analytics Develop, maintain, and automate dashboards, reports, and data visualizations using Power BI and other business intelligence tools. Translate business requirements into meaningful KPIs, operational metrics, and actionable reporting solutions. Utilize SQL and Oracle databases to extract, analyze, validate, and organize business data. Partner with cross-functional teams to identify opportunities for process improvements through data analysis. Support real-time reporting and maintain digital dashboards and associated workstations. Present findings, reports, and recommendations to departmental leadership. ERP Systems & Data Management Support ERP system administration, configuration, customization, and ongoing optimization. Serve as an ERP super-user, assisting departments with system functionality, troubleshooting, and process improvements. Plan and execute data cleansing, validation, and migration projects. Support third-party software integrations and system enhancements. Maintain accurate systems documentation, reporting procedures, and data management processes. Identify and recommend technology solutions that improve business efficiency and data accessibility. Technical Support & Cross-Functional Collaboration Collaborate with Finance, IT, Operations, and other business functions to support reporting and systems initiatives. Provide technical expertise and analytical support for departmental projects. Train employees on ERP functionality, reporting tools, and accessing business information. Coordinate with external IT managed services providers to assist with general IT maintenance, troubleshooting, and end-user support. Work closely with international colleagues, including teams based in the United Kingdom. Ensure systems and processes comply with applicable regulatory requirements and cybersecurity standards. Manage multiple projects while meeting established deadlines. Qualifications & Experience Required Bachelor's degree in Management Information Systems (MIS), Computer Science, Business Administration, Information Technology, or a related field. Minimum of 3 years of experience in a Business Intelligence Analyst, Systems Analyst, ERP Analyst, or similar position. Minimum of 3 years of experience working within a manufacturing environment. Strong proficiency in SQL, including querying and analyzing data. Experience working with Oracle databases. Hands-on experience developing dashboards and reports using Microsoft Power BI. Experience supporting ERP systems, including administration, configuration, reporting, or troubleshooting. Strong analytical, critical-thinking, and problem-solving abilities. Excellent organizational and time-management skills with the ability to manage multiple priorities independently. Strong written and verbal communication skills with the ability to explain technical information to nontechnical stakeholders. Ability to collaborate effectively with cross-functional teams. Preferred Experience with IFS ERP software. Experience with data migration, data cleansing, and system integrations. Familiarity with manufacturing operations, production reporting, inventory management, or supply chain analytics. Experience developing automated reporting solutions and real-time operational dashboards. Experience supporting international business operations. Additional Information Work Environment: Professional office environment. Travel: Occasional travel may be required. Collaboration: Regular interaction with internal departments, international colleagues, and external IT service providers. Why Consider This Opportunity? This position offers the opportunity to combine business intelligence, ERP systems, and data analytics within a manufacturing organization. The successful candidate will have a direct impact on reporting automation, data-driven decision-making, operational improvements, and systems optimization.
11/14/2026
Full time
Job Description Job Description Business Intelligence (BI) Systems Analyst Industry: Manufacturing Department: Finance / Information Technology Employment Type: Full-Time, Onsite Location: Branford, CT. Salary Range: $80,000-$90,000/year Work schedule: Monday-Thursday: Arrive in office between 6-9am. Mandatory 9 hour work day. Fridays: 6-1, or 9-4. Every other Friday off. Position Overview Our client, an established manufacturing company, is seeking a Business Intelligence (BI) Systems Analyst to support business intelligence, data analytics, ERP administration, and reporting automation across the organization. This position plays a key role in transforming complex business and operational data into meaningful, actionable insights that support strategic decision-making and operational efficiency. The ideal candidate will have a strong background in SQL, Oracle databases, Power BI, and ERP systems , along with experience working in a manufacturing environment. This individual will collaborate with Finance, IT, Operations, and other departments to improve data accessibility, automate reporting, optimize business processes, and support ongoing systems initiatives. Key Responsibilities Business Intelligence & Data Analytics Develop, maintain, and automate dashboards, reports, and data visualizations using Power BI and other business intelligence tools. Translate business requirements into meaningful KPIs, operational metrics, and actionable reporting solutions. Utilize SQL and Oracle databases to extract, analyze, validate, and organize business data. Partner with cross-functional teams to identify opportunities for process improvements through data analysis. Support real-time reporting and maintain digital dashboards and associated workstations. Present findings, reports, and recommendations to departmental leadership. ERP Systems & Data Management Support ERP system administration, configuration, customization, and ongoing optimization. Serve as an ERP super-user, assisting departments with system functionality, troubleshooting, and process improvements. Plan and execute data cleansing, validation, and migration projects. Support third-party software integrations and system enhancements. Maintain accurate systems documentation, reporting procedures, and data management processes. Identify and recommend technology solutions that improve business efficiency and data accessibility. Technical Support & Cross-Functional Collaboration Collaborate with Finance, IT, Operations, and other business functions to support reporting and systems initiatives. Provide technical expertise and analytical support for departmental projects. Train employees on ERP functionality, reporting tools, and accessing business information. Coordinate with external IT managed services providers to assist with general IT maintenance, troubleshooting, and end-user support. Work closely with international colleagues, including teams based in the United Kingdom. Ensure systems and processes comply with applicable regulatory requirements and cybersecurity standards. Manage multiple projects while meeting established deadlines. Qualifications & Experience Required Bachelor's degree in Management Information Systems (MIS), Computer Science, Business Administration, Information Technology, or a related field. Minimum of 3 years of experience in a Business Intelligence Analyst, Systems Analyst, ERP Analyst, or similar position. Minimum of 3 years of experience working within a manufacturing environment. Strong proficiency in SQL, including querying and analyzing data. Experience working with Oracle databases. Hands-on experience developing dashboards and reports using Microsoft Power BI. Experience supporting ERP systems, including administration, configuration, reporting, or troubleshooting. Strong analytical, critical-thinking, and problem-solving abilities. Excellent organizational and time-management skills with the ability to manage multiple priorities independently. Strong written and verbal communication skills with the ability to explain technical information to nontechnical stakeholders. Ability to collaborate effectively with cross-functional teams. Preferred Experience with IFS ERP software. Experience with data migration, data cleansing, and system integrations. Familiarity with manufacturing operations, production reporting, inventory management, or supply chain analytics. Experience developing automated reporting solutions and real-time operational dashboards. Experience supporting international business operations. Additional Information Work Environment: Professional office environment. Travel: Occasional travel may be required. Collaboration: Regular interaction with internal departments, international colleagues, and external IT service providers. Why Consider This Opportunity? This position offers the opportunity to combine business intelligence, ERP systems, and data analytics within a manufacturing organization. The successful candidate will have a direct impact on reporting automation, data-driven decision-making, operational improvements, and systems optimization.
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 12 About the Role: The Team: The Enterprise Solutions business within S&P Global Market Intelligence provides industry-leading data, software, and services that support investment management, enterprise data management, regulatory compliance, and private markets solutions. The Private Markets product team is responsible for products that support the entire investment lifecycle across Private Equity, Venture Capital, Real Estate, Infrastructure, and Private Credit markets. As part of the flagship iLEVEL product organization, you will work with a highly collaborative team of product leaders, technology professionals, and market experts focused on delivering innovative solutions for investment professionals. The team values customer-centricity, innovation, execution excellence, and continuous learning. Responsibilities and Impact: We are seeking a Lead Product Manager to drive our MCP & AI Agents Platform initiatives. This leader will own the vision, strategy, and execution for both the MCP connector ecosystem, enabling seamless integration of private markets data and content sources, and the AI Analyst capabilities being developed within our flagship iLEVEL platform. As a Lead Product Manager, you'll lead zero-to-one product efforts, building and scaling net new product offerings in a high growth, fast moving environment - leveraging the latest and greatest in agents, agentic workflows, and LLMs to build transformative new products that deliver value to clients. This role will require working closely with engineering, design, product, data science, marketing, go-to-market to drive new AI products to success. This is a highly cross-functional and visible role suited for a hands-on builder who thrives at the intersection of AI, customer-centric product development, and financial technology. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $101,000 to $175,000. Final base salary for this role will be based on the individual's geographic location, experience level, skill set, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: Experience in FinTech, AI, or other technology-driven environments, with a track record of launching and scaling products. Hands-on AI product builder with experience applying new AI technologies, including LLMs, agents, retrieval systems, and modern AI development tools. Strategic and customer-focused thinker who can develop deep domain expertise, simplify complex problems, and translate insights into impactful product strategies. Strong product operator skilled in agile delivery, product requirements, data-driven decision-making, KPI management, and cross-functional execution. Additional Preferred Qualifications: Exceptional communicator and collaborator who thrives in fast-paced, ambiguous environments and can align Product, Engineering, Design, and Go-to-Market teams around a shared vision. Experience working in a Private Markets product team. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal - 20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 12 About the Role: The Team: The Enterprise Solutions business within S&P Global Market Intelligence provides industry-leading data, software, and services that support investment management, enterprise data management, regulatory compliance, and private markets solutions. The Private Markets product team is responsible for products that support the entire investment lifecycle across Private Equity, Venture Capital, Real Estate, Infrastructure, and Private Credit markets. As part of the flagship iLEVEL product organization, you will work with a highly collaborative team of product leaders, technology professionals, and market experts focused on delivering innovative solutions for investment professionals. The team values customer-centricity, innovation, execution excellence, and continuous learning. Responsibilities and Impact: We are seeking a Lead Product Manager to drive our MCP & AI Agents Platform initiatives. This leader will own the vision, strategy, and execution for both the MCP connector ecosystem, enabling seamless integration of private markets data and content sources, and the AI Analyst capabilities being developed within our flagship iLEVEL platform. As a Lead Product Manager, you'll lead zero-to-one product efforts, building and scaling net new product offerings in a high growth, fast moving environment - leveraging the latest and greatest in agents, agentic workflows, and LLMs to build transformative new products that deliver value to clients. This role will require working closely with engineering, design, product, data science, marketing, go-to-market to drive new AI products to success. This is a highly cross-functional and visible role suited for a hands-on builder who thrives at the intersection of AI, customer-centric product development, and financial technology. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $101,000 to $175,000. Final base salary for this role will be based on the individual's geographic location, experience level, skill set, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: Experience in FinTech, AI, or other technology-driven environments, with a track record of launching and scaling products. Hands-on AI product builder with experience applying new AI technologies, including LLMs, agents, retrieval systems, and modern AI development tools. Strategic and customer-focused thinker who can develop deep domain expertise, simplify complex problems, and translate insights into impactful product strategies. Strong product operator skilled in agile delivery, product requirements, data-driven decision-making, KPI management, and cross-functional execution. Additional Preferred Qualifications: Exceptional communicator and collaborator who thrives in fast-paced, ambiguous environments and can align Product, Engineering, Design, and Go-to-Market teams around a shared vision. Experience working in a Private Markets product team. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal - 20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
DTS is looking for Business Analyst (Procurement / Vendor Management) for our client position based in Detroit, MI Description: Engagement Description - Support the Vendor Management (VM) team as Enterprise Procurement progresses from 2026 capability building into the 2027 Procurement Transformation roadmap. The contractor will help convert current-state VM processes, data, controls, reporting, automation, and AI-enabled use cases into documented requirements and implementation-ready artifacts for the future operating model. Act as a hands-on bridge across Vendor Management, Procurement business stakeholders, analytics, technology, and change activities. The resource should move between business analysis, process redesign, data/reporting, UAT, documentation, training, and practical AI/automation use cases rather than operate as a narrowly focused developer. Expected work includes current/future-state process mapping; requirements and user stories; gap/root-cause analysis; control and risk documentation; data/KPI analysis; Power BI/Excel reporting; system/workflow requirements; test scenarios/UAT coordination; SOPs/job aids; training/knowledge transfer; and evaluation of responsible AI or automation opportunities. Success is defined by high-quality, reusable artifacts that accelerate transformation while preserving controls, data quality, stakeholder alignment, and knowledge transfer to the internal VM team. Top 3 Required Skills/Experience - • 5+ years of business/systems analysis or process transformation experience, including requirements gathering, current/future-state process mapping, root-cause analysis, process redesign, technical documentation, UAT, and cross-functional implementation support for complex business processes. • 3+ years of procurement, vendor/supplier management, source-to-pay, contract lifecycle, or adjacent supply-chain experience. Strong preference for hands-on Oracle Cloud Procurement and/or CLM/vendor management platform experience and ability to translate VM needs into system and data requirements. • Demonstrated analytics and AI-enabled process improvement capability: advanced Excel plus Power BI or Tableau, KPI/reporting analysis, and practical use of enterprise generative AI tools such as Microsoft Copilot, ChatGPT, Claude, or Gemini with appropriate human review and data/privacy controls. Required Skills/Experience - The rest of the required skills/experience. Include: • Facilitate stakeholder interviews/workshops and convert needs into functional requirements, process maps, acceptance criteria, decision logs, RACI inputs, and implementation documentation. • Support technology/transformation initiatives through design, integration/deployment readiness, testing, defect triage, UAT, change management, and post-implementation knowledge transfer. • Strong process optimization skills: root-cause analysis, control-point identification, exception/handoff analysis, and measurable improvement recommendations. • Working knowledge of supplier lifecycle activities including onboarding, risk/compliance, contract administration, supplier performance, data maintenance, monitoring, and issue resolution. • Oracle Cloud or comparable enterprise procurement/ERP experience; understand dependencies across procurement, contracts, master data, requisition-to-pay, and reporting. • Contract lifecycle management concepts/tools; document business rules, metadata, workflow requirements, alerts, approvals, and reporting needs. • Advanced Excel and working proficiency in Power BI or Tableau; profile data, analyze trends, validate data quality, develop/refine KPIs, and translate analysis into recommendations. • Practical generative AI and AI-enabled workflow experience, including validation, human-in-the-loop review, confidentiality, privacy, and responsible-use considerations. • Assess risk and controls in redesigned/automated processes, including data privacy, cybersecurity, auditability, segregation of duties, and approval controls. • Excellent written/verbal communication; produce executive summaries plus detailed SOPs, requirements, test scripts, job aids, and training materials. • Work independently in ambiguity, manage multiple priorities, surface risks early, and collaborate with business SMEs, technology teams, suppliers, and leaders. • Working understanding of cloud/SaaS concepts and integrations; deep cloud engineering expertise is not required. Preferred Skills/Experience - Optional but preferred skills/experience. Include: • Healthcare payer, health insurance, or another highly regulated industry. • AI/ML or generative-AI implementation in procurement, operations, contracting, supplier management, analytics, or knowledge management. • Microsoft Power Platform (Power Automate/Power Apps) and/or UiPath/RPA. • Modern procurement platforms such as Zip, Ironclad, Beeline, or comparable intake/orchestration, CLM, and contingent-labor solutions. • Supplier-performance, operational KPI, procurement, contract, or risk dashboards in Power BI. • Lean, Six Sigma, BPMN, SIPOC, Agile, Prosci/ADKAR, or equivalent process/change experience. • Procurement master data, supplier analytics, contract analytics, data governance, and data-quality controls. • Training development, working-session facilitation, and knowledge transfer to business users.
11/13/2026
Full time
DTS is looking for Business Analyst (Procurement / Vendor Management) for our client position based in Detroit, MI Description: Engagement Description - Support the Vendor Management (VM) team as Enterprise Procurement progresses from 2026 capability building into the 2027 Procurement Transformation roadmap. The contractor will help convert current-state VM processes, data, controls, reporting, automation, and AI-enabled use cases into documented requirements and implementation-ready artifacts for the future operating model. Act as a hands-on bridge across Vendor Management, Procurement business stakeholders, analytics, technology, and change activities. The resource should move between business analysis, process redesign, data/reporting, UAT, documentation, training, and practical AI/automation use cases rather than operate as a narrowly focused developer. Expected work includes current/future-state process mapping; requirements and user stories; gap/root-cause analysis; control and risk documentation; data/KPI analysis; Power BI/Excel reporting; system/workflow requirements; test scenarios/UAT coordination; SOPs/job aids; training/knowledge transfer; and evaluation of responsible AI or automation opportunities. Success is defined by high-quality, reusable artifacts that accelerate transformation while preserving controls, data quality, stakeholder alignment, and knowledge transfer to the internal VM team. Top 3 Required Skills/Experience - • 5+ years of business/systems analysis or process transformation experience, including requirements gathering, current/future-state process mapping, root-cause analysis, process redesign, technical documentation, UAT, and cross-functional implementation support for complex business processes. • 3+ years of procurement, vendor/supplier management, source-to-pay, contract lifecycle, or adjacent supply-chain experience. Strong preference for hands-on Oracle Cloud Procurement and/or CLM/vendor management platform experience and ability to translate VM needs into system and data requirements. • Demonstrated analytics and AI-enabled process improvement capability: advanced Excel plus Power BI or Tableau, KPI/reporting analysis, and practical use of enterprise generative AI tools such as Microsoft Copilot, ChatGPT, Claude, or Gemini with appropriate human review and data/privacy controls. Required Skills/Experience - The rest of the required skills/experience. Include: • Facilitate stakeholder interviews/workshops and convert needs into functional requirements, process maps, acceptance criteria, decision logs, RACI inputs, and implementation documentation. • Support technology/transformation initiatives through design, integration/deployment readiness, testing, defect triage, UAT, change management, and post-implementation knowledge transfer. • Strong process optimization skills: root-cause analysis, control-point identification, exception/handoff analysis, and measurable improvement recommendations. • Working knowledge of supplier lifecycle activities including onboarding, risk/compliance, contract administration, supplier performance, data maintenance, monitoring, and issue resolution. • Oracle Cloud or comparable enterprise procurement/ERP experience; understand dependencies across procurement, contracts, master data, requisition-to-pay, and reporting. • Contract lifecycle management concepts/tools; document business rules, metadata, workflow requirements, alerts, approvals, and reporting needs. • Advanced Excel and working proficiency in Power BI or Tableau; profile data, analyze trends, validate data quality, develop/refine KPIs, and translate analysis into recommendations. • Practical generative AI and AI-enabled workflow experience, including validation, human-in-the-loop review, confidentiality, privacy, and responsible-use considerations. • Assess risk and controls in redesigned/automated processes, including data privacy, cybersecurity, auditability, segregation of duties, and approval controls. • Excellent written/verbal communication; produce executive summaries plus detailed SOPs, requirements, test scripts, job aids, and training materials. • Work independently in ambiguity, manage multiple priorities, surface risks early, and collaborate with business SMEs, technology teams, suppliers, and leaders. • Working understanding of cloud/SaaS concepts and integrations; deep cloud engineering expertise is not required. Preferred Skills/Experience - Optional but preferred skills/experience. Include: • Healthcare payer, health insurance, or another highly regulated industry. • AI/ML or generative-AI implementation in procurement, operations, contracting, supplier management, analytics, or knowledge management. • Microsoft Power Platform (Power Automate/Power Apps) and/or UiPath/RPA. • Modern procurement platforms such as Zip, Ironclad, Beeline, or comparable intake/orchestration, CLM, and contingent-labor solutions. • Supplier-performance, operational KPI, procurement, contract, or risk dashboards in Power BI. • Lean, Six Sigma, BPMN, SIPOC, Agile, Prosci/ADKAR, or equivalent process/change experience. • Procurement master data, supplier analytics, contract analytics, data governance, and data-quality controls. • Training development, working-session facilitation, and knowledge transfer to business users.
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Analytics and Performance Operations (APEX) team supporting AbbVie's US Commercial organization is growing every day. We comprise highly respected researchers, analysts, and Data SMEs striving to be the gold standard Research & Analytics organization within the biopharmaceutical industry. We serve as strategic in-house advisor and pragmatic compass to Marketing, Sales, and Leadership - ensuring that all decisions are grounded in rigorous intelligence and earned intuition. We look at 'data' differently - as an input into insight generation, not an endgame. We appreciate ambiguity but recognize the need for clarity. We work tirelessly to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. Patients depend on us, and we take that very seriously - without taking ourselves too seriously. We are smart, fun, quirky, and innovative - and we'd love for you to join us. The Manager of Data Strategy and Business Intelligence will develop and execute data strategy plans to support the Market Access and Patient Services organization. This role will report to the Associate Director - Market Access and Patient Services Data Transformation support enterprise capabilities for the APEX organization Responsibilities: Maintain comprehensive knowledge of market access data architecture and data flows Proactively identify and resolve data quality and integrity issues Collaborate with Business technology Solutions (BTS) and data engineering teams to optimize data pipelines Troubleshoot complex data-related problems and implement sustainable solutions Develop and execute a plan for data acquisition and enablement across the various Market Access data domains Serve as a subject matter expert for data related to key Market Access domains (eg: claims, Payor and Plan hierarchy, syndicated data assets etc.) Lead the design, build, and implementation of new BI platforms and analytics solutions Drive ongoing platform enhancements based on evolving business needs and technological advancements Establish and maintain BI standards, best practices, and governance frameworks Partner with business stakeholders to gather, document, and manage requirements for key performance indicators (KPIs) Define and maintain business rules ensuring data accuracy and consistency across reporting Translate complex business needs into technical specifications for BI solutions Execute data assessments across new and existing data assets and make use case recommendations to analytics teams. Qualifications Bachelor's degree in one of the following fields: Business, Management Information Systems, Engineering, and/or Operations is required 5+ years of experience in business intelligence, data analytics, or related field 3-5 years of experience in leading projects independently Experience in concepts of Managed Market controls and pricing (Trade, PBMs, Payors, Government), Pharmaceutical supply chain, Health system affiliations and formulary data Experience in business and/or analytics consulting roles for technology/analytics services companies a plus. Strong working knowledge of syndicated pharmaceutical data sources, including claims data sources Proven track record of successfully delivering BI initiatives from concept to production Strong analytical mindset with passion for working with data Hands-on proficiency in BI tools and platforms (e.g. Power BI) Experience with data modeling and database design principles Hands on ability with tools, programming languages and cloud infrastructure for ETL - SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of technologies to support the analytics value chain across descriptive and predictive analytics Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html
11/12/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Analytics and Performance Operations (APEX) team supporting AbbVie's US Commercial organization is growing every day. We comprise highly respected researchers, analysts, and Data SMEs striving to be the gold standard Research & Analytics organization within the biopharmaceutical industry. We serve as strategic in-house advisor and pragmatic compass to Marketing, Sales, and Leadership - ensuring that all decisions are grounded in rigorous intelligence and earned intuition. We look at 'data' differently - as an input into insight generation, not an endgame. We appreciate ambiguity but recognize the need for clarity. We work tirelessly to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. Patients depend on us, and we take that very seriously - without taking ourselves too seriously. We are smart, fun, quirky, and innovative - and we'd love for you to join us. The Manager of Data Strategy and Business Intelligence will develop and execute data strategy plans to support the Market Access and Patient Services organization. This role will report to the Associate Director - Market Access and Patient Services Data Transformation support enterprise capabilities for the APEX organization Responsibilities: Maintain comprehensive knowledge of market access data architecture and data flows Proactively identify and resolve data quality and integrity issues Collaborate with Business technology Solutions (BTS) and data engineering teams to optimize data pipelines Troubleshoot complex data-related problems and implement sustainable solutions Develop and execute a plan for data acquisition and enablement across the various Market Access data domains Serve as a subject matter expert for data related to key Market Access domains (eg: claims, Payor and Plan hierarchy, syndicated data assets etc.) Lead the design, build, and implementation of new BI platforms and analytics solutions Drive ongoing platform enhancements based on evolving business needs and technological advancements Establish and maintain BI standards, best practices, and governance frameworks Partner with business stakeholders to gather, document, and manage requirements for key performance indicators (KPIs) Define and maintain business rules ensuring data accuracy and consistency across reporting Translate complex business needs into technical specifications for BI solutions Execute data assessments across new and existing data assets and make use case recommendations to analytics teams. Qualifications Bachelor's degree in one of the following fields: Business, Management Information Systems, Engineering, and/or Operations is required 5+ years of experience in business intelligence, data analytics, or related field 3-5 years of experience in leading projects independently Experience in concepts of Managed Market controls and pricing (Trade, PBMs, Payors, Government), Pharmaceutical supply chain, Health system affiliations and formulary data Experience in business and/or analytics consulting roles for technology/analytics services companies a plus. Strong working knowledge of syndicated pharmaceutical data sources, including claims data sources Proven track record of successfully delivering BI initiatives from concept to production Strong analytical mindset with passion for working with data Hands-on proficiency in BI tools and platforms (e.g. Power BI) Experience with data modeling and database design principles Hands on ability with tools, programming languages and cloud infrastructure for ETL - SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of technologies to support the analytics value chain across descriptive and predictive analytics Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Analytics and Performance Operations (APEX) team supporting AbbVie's US Commercial organization is growing every day. We comprise highly respected researchers, analysts, and Data SMEs striving to be the gold standard Research & Analytics organization within the biopharmaceutical industry. We serve as strategic in-house advisor and pragmatic compass to Marketing, Sales, and Leadership - ensuring that all decisions are grounded in rigorous intelligence and earned intuition. We look at 'data' differently - as an input into insight generation, not an endgame. We appreciate ambiguity but recognize the need for clarity. We work tirelessly to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. Patients depend on us, and we take that very seriously - without taking ourselves too seriously. We are smart, fun, quirky, and innovative - and we'd love for you to join us. The Manager of Data Strategy and Business Intelligence will develop and execute data strategy plans to support the Market Access and Patient Services organization. This role will report to the Associate Director - Market Access and Patient Services Data Transformation support enterprise capabilities for the APEX organization Responsibilities: Maintain comprehensive knowledge of market access data architecture and data flows Proactively identify and resolve data quality and integrity issues Collaborate with Business technology Solutions (BTS) and data engineering teams to optimize data pipelines Troubleshoot complex data-related problems and implement sustainable solutions Develop and execute a plan for data acquisition and enablement across the various Market Access data domains Serve as a subject matter expert for data related to key Market Access domains (eg: claims, Payor and Plan hierarchy, syndicated data assets etc.) Lead the design, build, and implementation of new BI platforms and analytics solutions Drive ongoing platform enhancements based on evolving business needs and technological advancements Establish and maintain BI standards, best practices, and governance frameworks Partner with business stakeholders to gather, document, and manage requirements for key performance indicators (KPIs) Define and maintain business rules ensuring data accuracy and consistency across reporting Translate complex business needs into technical specifications for BI solutions Execute data assessments across new and existing data assets and make use case recommendations to analytics teams. Qualifications Bachelor's degree in one of the following fields: Business, Management Information Systems, Engineering, and/or Operations is required 5+ years of experience in business intelligence, data analytics, or related field 3-5 years of experience in leading projects independently Experience in concepts of Managed Market controls and pricing (Trade, PBMs, Payors, Government), Pharmaceutical supply chain, Health system affiliations and formulary data Experience in business and/or analytics consulting roles for technology/analytics services companies a plus. Strong working knowledge of syndicated pharmaceutical data sources, including claims data sources Proven track record of successfully delivering BI initiatives from concept to production Strong analytical mindset with passion for working with data Hands-on proficiency in BI tools and platforms (e.g. Power BI) Experience with data modeling and database design principles Hands on ability with tools, programming languages and cloud infrastructure for ETL - SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of technologies to support the analytics value chain across descriptive and predictive analytics Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html
11/12/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Analytics and Performance Operations (APEX) team supporting AbbVie's US Commercial organization is growing every day. We comprise highly respected researchers, analysts, and Data SMEs striving to be the gold standard Research & Analytics organization within the biopharmaceutical industry. We serve as strategic in-house advisor and pragmatic compass to Marketing, Sales, and Leadership - ensuring that all decisions are grounded in rigorous intelligence and earned intuition. We look at 'data' differently - as an input into insight generation, not an endgame. We appreciate ambiguity but recognize the need for clarity. We work tirelessly to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. Patients depend on us, and we take that very seriously - without taking ourselves too seriously. We are smart, fun, quirky, and innovative - and we'd love for you to join us. The Manager of Data Strategy and Business Intelligence will develop and execute data strategy plans to support the Market Access and Patient Services organization. This role will report to the Associate Director - Market Access and Patient Services Data Transformation support enterprise capabilities for the APEX organization Responsibilities: Maintain comprehensive knowledge of market access data architecture and data flows Proactively identify and resolve data quality and integrity issues Collaborate with Business technology Solutions (BTS) and data engineering teams to optimize data pipelines Troubleshoot complex data-related problems and implement sustainable solutions Develop and execute a plan for data acquisition and enablement across the various Market Access data domains Serve as a subject matter expert for data related to key Market Access domains (eg: claims, Payor and Plan hierarchy, syndicated data assets etc.) Lead the design, build, and implementation of new BI platforms and analytics solutions Drive ongoing platform enhancements based on evolving business needs and technological advancements Establish and maintain BI standards, best practices, and governance frameworks Partner with business stakeholders to gather, document, and manage requirements for key performance indicators (KPIs) Define and maintain business rules ensuring data accuracy and consistency across reporting Translate complex business needs into technical specifications for BI solutions Execute data assessments across new and existing data assets and make use case recommendations to analytics teams. Qualifications Bachelor's degree in one of the following fields: Business, Management Information Systems, Engineering, and/or Operations is required 5+ years of experience in business intelligence, data analytics, or related field 3-5 years of experience in leading projects independently Experience in concepts of Managed Market controls and pricing (Trade, PBMs, Payors, Government), Pharmaceutical supply chain, Health system affiliations and formulary data Experience in business and/or analytics consulting roles for technology/analytics services companies a plus. Strong working knowledge of syndicated pharmaceutical data sources, including claims data sources Proven track record of successfully delivering BI initiatives from concept to production Strong analytical mindset with passion for working with data Hands-on proficiency in BI tools and platforms (e.g. Power BI) Experience with data modeling and database design principles Hands on ability with tools, programming languages and cloud infrastructure for ETL - SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of technologies to support the analytics value chain across descriptive and predictive analytics Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Analytics and Performance Operations (APEX) team supporting AbbVie's US Commercial organization is growing every day. We comprise highly respected researchers, analysts, and Data SMEs striving to be the gold standard Research & Analytics organization within the biopharmaceutical industry. We serve as strategic in-house advisor and pragmatic compass to Marketing, Sales, and Leadership - ensuring that all decisions are grounded in rigorous intelligence and earned intuition. We look at 'data' differently - as an input into insight generation, not an endgame. We appreciate ambiguity but recognize the need for clarity. We work tirelessly to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. Patients depend on us, and we take that very seriously - without taking ourselves too seriously. We are smart, fun, quirky, and innovative - and we'd love for you to join us. The Manager of Data Strategy and Business Intelligence will develop and execute data strategy plans to support the Market Access and Patient Services organization. This role will report to the Associate Director - Market Access and Patient Services Data Transformation support enterprise capabilities for the APEX organization Responsibilities: Maintain comprehensive knowledge of market access data architecture and data flows Proactively identify and resolve data quality and integrity issues Collaborate with Business technology Solutions (BTS) and data engineering teams to optimize data pipelines Troubleshoot complex data-related problems and implement sustainable solutions Develop and execute a plan for data acquisition and enablement across the various Market Access data domains Serve as a subject matter expert for data related to key Market Access domains (eg: claims, Payor and Plan hierarchy, syndicated data assets etc.) Lead the design, build, and implementation of new BI platforms and analytics solutions Drive ongoing platform enhancements based on evolving business needs and technological advancements Establish and maintain BI standards, best practices, and governance frameworks Partner with business stakeholders to gather, document, and manage requirements for key performance indicators (KPIs) Define and maintain business rules ensuring data accuracy and consistency across reporting Translate complex business needs into technical specifications for BI solutions Execute data assessments across new and existing data assets and make use case recommendations to analytics teams. Qualifications Bachelor's degree in one of the following fields: Business, Management Information Systems, Engineering, and/or Operations is required 5+ years of experience in business intelligence, data analytics, or related field 3-5 years of experience in leading projects independently Experience in concepts of Managed Market controls and pricing (Trade, PBMs, Payors, Government), Pharmaceutical supply chain, Health system affiliations and formulary data Experience in business and/or analytics consulting roles for technology/analytics services companies a plus. Strong working knowledge of syndicated pharmaceutical data sources, including claims data sources Proven track record of successfully delivering BI initiatives from concept to production Strong analytical mindset with passion for working with data Hands-on proficiency in BI tools and platforms (e.g. Power BI) Experience with data modeling and database design principles Hands on ability with tools, programming languages and cloud infrastructure for ETL - SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of technologies to support the analytics value chain across descriptive and predictive analytics Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html
11/12/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Analytics and Performance Operations (APEX) team supporting AbbVie's US Commercial organization is growing every day. We comprise highly respected researchers, analysts, and Data SMEs striving to be the gold standard Research & Analytics organization within the biopharmaceutical industry. We serve as strategic in-house advisor and pragmatic compass to Marketing, Sales, and Leadership - ensuring that all decisions are grounded in rigorous intelligence and earned intuition. We look at 'data' differently - as an input into insight generation, not an endgame. We appreciate ambiguity but recognize the need for clarity. We work tirelessly to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. Patients depend on us, and we take that very seriously - without taking ourselves too seriously. We are smart, fun, quirky, and innovative - and we'd love for you to join us. The Manager of Data Strategy and Business Intelligence will develop and execute data strategy plans to support the Market Access and Patient Services organization. This role will report to the Associate Director - Market Access and Patient Services Data Transformation support enterprise capabilities for the APEX organization Responsibilities: Maintain comprehensive knowledge of market access data architecture and data flows Proactively identify and resolve data quality and integrity issues Collaborate with Business technology Solutions (BTS) and data engineering teams to optimize data pipelines Troubleshoot complex data-related problems and implement sustainable solutions Develop and execute a plan for data acquisition and enablement across the various Market Access data domains Serve as a subject matter expert for data related to key Market Access domains (eg: claims, Payor and Plan hierarchy, syndicated data assets etc.) Lead the design, build, and implementation of new BI platforms and analytics solutions Drive ongoing platform enhancements based on evolving business needs and technological advancements Establish and maintain BI standards, best practices, and governance frameworks Partner with business stakeholders to gather, document, and manage requirements for key performance indicators (KPIs) Define and maintain business rules ensuring data accuracy and consistency across reporting Translate complex business needs into technical specifications for BI solutions Execute data assessments across new and existing data assets and make use case recommendations to analytics teams. Qualifications Bachelor's degree in one of the following fields: Business, Management Information Systems, Engineering, and/or Operations is required 5+ years of experience in business intelligence, data analytics, or related field 3-5 years of experience in leading projects independently Experience in concepts of Managed Market controls and pricing (Trade, PBMs, Payors, Government), Pharmaceutical supply chain, Health system affiliations and formulary data Experience in business and/or analytics consulting roles for technology/analytics services companies a plus. Strong working knowledge of syndicated pharmaceutical data sources, including claims data sources Proven track record of successfully delivering BI initiatives from concept to production Strong analytical mindset with passion for working with data Hands-on proficiency in BI tools and platforms (e.g. Power BI) Experience with data modeling and database design principles Hands on ability with tools, programming languages and cloud infrastructure for ETL - SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of technologies to support the analytics value chain across descriptive and predictive analytics Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html
Job Description Job Description Job Description: Business Intelligence (BI) Analyst - Retail Analytics Client: Skechers Location: Los Angeles, CA (Onsite - 5 days/week) - Manhattan Beach area Role Type: All-round BI Resource About the Role Skechers is looking for an experienced, all-round Business Intelligence professional to join their onsite team in Los Angeles. This role sits at the intersection of retail business operations and modern BI/analytics toolsets, helping translate business needs into decision-intelligence solutions powered by analytics, AI, and data science. Key Responsibilities Partner with business stakeholders across retail functions (merchandising, supply chain, store operations, finance) to understand processes, pain points, and decision-making needs. Translate business requirements into BI solutions - dashboards, reports, data models - that drive actionable insights. Design, build, and maintain BI dashboards and reports using tools such as Power BI, Tableau, or similar platforms. Work with data engineering/data science teams to incorporate AI/ML-driven insights into BI deliverables (e.g., demand forecasting, customer segmentation, inventory optimization). Perform data analysis to identify trends, patterns, and opportunities relevant to retail performance (sales, inventory, customer behavior, etc.) Ensure data accuracy, consistency, and governance across BI reporting layers. Act as a liaison between business teams and technical teams, ensuring BI outputs align with business context and strategic goals. Continuously evaluate and recommend improvements to BI processes, tools, and reporting frameworks. Required Skills & Experience Proven experience as a BI Analyst/Developer/Consultant, ideally within retail or consumer goods industries. Strong understanding of retail business processes (sales, merchandising, inventory, supply chain, customer analytics). Hands-on expertise with BI tools (Power BI, Tableau, Qlik, or similar). Working knowledge of SQL and data modeling concepts. Exposure to AI/ML concepts and how they integrate into BI/decision-intelligence workflows. Strong communication and stakeholder management skills - able to bridge business and technical conversations. Experience with data warehousing concepts and ETL processes is a plus. Nice to Have Experience with cloud data platforms (Azure, AWS, GCP). Familiarity with data science workflows (Python/R) for advanced analytics. Prior experience working with retail/apparel/footwear brands.
11/12/2026
Full time
Job Description Job Description Job Description: Business Intelligence (BI) Analyst - Retail Analytics Client: Skechers Location: Los Angeles, CA (Onsite - 5 days/week) - Manhattan Beach area Role Type: All-round BI Resource About the Role Skechers is looking for an experienced, all-round Business Intelligence professional to join their onsite team in Los Angeles. This role sits at the intersection of retail business operations and modern BI/analytics toolsets, helping translate business needs into decision-intelligence solutions powered by analytics, AI, and data science. Key Responsibilities Partner with business stakeholders across retail functions (merchandising, supply chain, store operations, finance) to understand processes, pain points, and decision-making needs. Translate business requirements into BI solutions - dashboards, reports, data models - that drive actionable insights. Design, build, and maintain BI dashboards and reports using tools such as Power BI, Tableau, or similar platforms. Work with data engineering/data science teams to incorporate AI/ML-driven insights into BI deliverables (e.g., demand forecasting, customer segmentation, inventory optimization). Perform data analysis to identify trends, patterns, and opportunities relevant to retail performance (sales, inventory, customer behavior, etc.) Ensure data accuracy, consistency, and governance across BI reporting layers. Act as a liaison between business teams and technical teams, ensuring BI outputs align with business context and strategic goals. Continuously evaluate and recommend improvements to BI processes, tools, and reporting frameworks. Required Skills & Experience Proven experience as a BI Analyst/Developer/Consultant, ideally within retail or consumer goods industries. Strong understanding of retail business processes (sales, merchandising, inventory, supply chain, customer analytics). Hands-on expertise with BI tools (Power BI, Tableau, Qlik, or similar). Working knowledge of SQL and data modeling concepts. Exposure to AI/ML concepts and how they integrate into BI/decision-intelligence workflows. Strong communication and stakeholder management skills - able to bridge business and technical conversations. Experience with data warehousing concepts and ETL processes is a plus. Nice to Have Experience with cloud data platforms (Azure, AWS, GCP). Familiarity with data science workflows (Python/R) for advanced analytics. Prior experience working with retail/apparel/footwear brands.
Job Description Job Description About Miebach Miebach Consulting is one of the world's leading supply chain-focused consulting and engineering firms. For over 50 years, we have helped clients design, optimize, and implement end-to-end supply chain solutions across industries including consumer goods, food, pharma, retail, and high-tech. Our global expertise spans Supply Chain Transformation, Engineering & Operational Excellence, and Digitalization. We are proud to be recognized among SupplyChainBrain's Top 100 Supply Chain Partners, with many of Gartner's Top 25 Supply Chains relying on Miebach to support their strategic initiatives. About the role We are seeking a Process Mining Technical Analyst to provide technical support throughout process mining projects. The role focuses on data preparation, event-log development, process mining configuration, data validation, troubleshooting, and analytical support. The successful candidate must understand process and material flows, particularly within warehouse, transportation, manufacturing, or supply chain environments. They will work closely with process mining consultants, data engineers, project managers, and client teams to ensure that the required data, process logic, KPIs, and dashboards are correctly developed and validated. The role may contribute to identifying process issues and improvement opportunities, but developing business recommendations is not the primary responsibility. Key Responsibilities Project Collaboration and Delivery Work collaboratively as an active member of multidisciplinary project teams. Support process mining projects from data discovery through delivery and handover. Participate in project meetings, workshops, working sessions, and client reviews. Provide regular updates on progress, risks, dependencies, and open technical topics. Process Understanding and Requirements Understand and document operational processes and material flows. Translate business and process requirements into technical data requirements. Identify process objects, activities, timestamps, attributes, and relationships. Support data mapping between source systems and the process mining platform. Data Preparation and Process Models Extract, clean, transform, and prepare data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models. Validate data, process logic, calculations, and analytical outputs. Investigate data-quality issues, missing events, inconsistent master data, and unexpected results. Process Mining Analysis and Insights Configure process mining analyses, KPIs, dashboards, filters, and process views. Contribute to the identification of process deviations, bottlenecks, and improvement opportunities when required. Support the preparation of project deliverables, demonstrations, and client presentations. Testing and Technical Troubleshooting Troubleshoot technical issues and coordinate resolution with the project team, IT teams, and platform specialists. Prepare test cases and support system testing and user acceptance testing. Assist with validating system functionality, data connections, and analytical outputs. Documentation and Knowledge Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity with process-mining platforms such as Celonis, SAP Signavio Process Intelligence, UiPath Process Mining, IBM Process Mining, or Apromore is preferred; experience with one or more platforms is sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PIa69d29723c4e-9205
11/12/2026
Full time
Job Description Job Description About Miebach Miebach Consulting is one of the world's leading supply chain-focused consulting and engineering firms. For over 50 years, we have helped clients design, optimize, and implement end-to-end supply chain solutions across industries including consumer goods, food, pharma, retail, and high-tech. Our global expertise spans Supply Chain Transformation, Engineering & Operational Excellence, and Digitalization. We are proud to be recognized among SupplyChainBrain's Top 100 Supply Chain Partners, with many of Gartner's Top 25 Supply Chains relying on Miebach to support their strategic initiatives. About the role We are seeking a Process Mining Technical Analyst to provide technical support throughout process mining projects. The role focuses on data preparation, event-log development, process mining configuration, data validation, troubleshooting, and analytical support. The successful candidate must understand process and material flows, particularly within warehouse, transportation, manufacturing, or supply chain environments. They will work closely with process mining consultants, data engineers, project managers, and client teams to ensure that the required data, process logic, KPIs, and dashboards are correctly developed and validated. The role may contribute to identifying process issues and improvement opportunities, but developing business recommendations is not the primary responsibility. Key Responsibilities Project Collaboration and Delivery Work collaboratively as an active member of multidisciplinary project teams. Support process mining projects from data discovery through delivery and handover. Participate in project meetings, workshops, working sessions, and client reviews. Provide regular updates on progress, risks, dependencies, and open technical topics. Process Understanding and Requirements Understand and document operational processes and material flows. Translate business and process requirements into technical data requirements. Identify process objects, activities, timestamps, attributes, and relationships. Support data mapping between source systems and the process mining platform. Data Preparation and Process Models Extract, clean, transform, and prepare data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models. Validate data, process logic, calculations, and analytical outputs. Investigate data-quality issues, missing events, inconsistent master data, and unexpected results. Process Mining Analysis and Insights Configure process mining analyses, KPIs, dashboards, filters, and process views. Contribute to the identification of process deviations, bottlenecks, and improvement opportunities when required. Support the preparation of project deliverables, demonstrations, and client presentations. Testing and Technical Troubleshooting Troubleshoot technical issues and coordinate resolution with the project team, IT teams, and platform specialists. Prepare test cases and support system testing and user acceptance testing. Assist with validating system functionality, data connections, and analytical outputs. Documentation and Knowledge Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity with process-mining platforms such as Celonis, SAP Signavio Process Intelligence, UiPath Process Mining, IBM Process Mining, or Apromore is preferred; experience with one or more platforms is sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PIa69d29723c4e-9205
Job Description Job Description Product Owner, Business Intelligence, Automation and AI Position Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Product Owner, Business Intelligence, Automation and AI plans and coordinates the development, enhancement, prioritization, and adoption of AI, automation, data warehouse, and Power BI reporting products with TireHub's business partners. This position provides product leadership and subject matter expertise across intelligent automation, applied AI, enterprise data, analytics, and reporting solutions. The Product Owner serves as the primary liaison between business stakeholders, technical teams, vendors, and leadership to ensure product roadmaps, backlogs, and delivered solutions align with TireHub's strategic priorities, operational needs, governance standards, and measurable business value. This position reports to Director, Enterprise Applications. The individual must exhibit the following core TireHub commitments: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to do is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we don't give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Owns, maintains, and communicates the short-term and long-term product roadmap for AI, automation, enterprise data, data warehouse, and Power BI reporting capabilities. Partners with business leaders and stakeholders to identify, evaluate, and prioritize high-value use cases for AI, workflow automation, data products, dashboards, analytics, and reporting solutions. Maintains, and accounts for product team progress to business stakeholders in bi-weekly prioritization. Works with assigned architect and business analyst on ongoing process of backlog grooming and elaboration to prepare actionable content for sprints. Works with technical leads in assigned areas to plan appropriate level of resource augmentation with offshore partners. Works with the scrum master on fine tuning the agile process for the product team through retrospectives and metric analysis. Creates, maintains, and prioritizes product backlog items, user stories, epics, acceptance criteria, and delivery priorities based on business value, urgency, customer needs, resource availability, and strategic alignment. Acts as the primary point of contact between business stakeholders, data teams, automation engineers, AI enablement teams, vendors, and IT leadership to translate business needs into clear, actionable product requirements. Guides Agile delivery teams through successful delivery of committed sprints, ensuring requirements are clearly understood, business priorities are aligned, and blockers are resolved quickly. Collaborates with AI and automation technical resources to define, evaluate, pilot, and scale solutions such as workflow automation, robotic process automation, AI agents, copilots, generative AI-enabled processes, and intelligent business workflows. Works with data engineering and BI teams to support the data warehouse lifecycle, including source data intake, data modeling, transformation requirements, data quality expectations, metadata standards, and reporting needs. Partners with Power BI developers and business stakeholders to define trusted datasets, dashboards, reports, KPIs, data definitions, report adoption plans, and actionable insights for leadership and operational teams. Supports data governance, AI governance, security, privacy, and access control requirements by ensuring solutions follow TireHub standards for responsible AI use, data protection, and approved business processes. Prepares business cases, value estimates, adoption plans, and success metrics for AI, automation, data warehouse, and reporting initiatives. Evaluates emerging AI, automation, data, and analytics tools and capabilities, coordinating pilots and proofs of concept to determine business value and implementation feasibility. Facilitates QA, UAT, and validation activities to ensure delivered solutions meet business requirements, acceptance criteria, data quality expectations, and reporting accuracy standards. Monitors product performance, adoption, user feedback, and operational outcomes to continuously improve AI, automation, data, and reporting products. Communicates product priorities, delivery progress, risks, dependencies, and value realization to stakeholders and leadership in clear business terms. Facilitates problem resolution and removes blockers that are preventing delivery progression or product adoption. Participates and maintains ongoing training requirements through in-class, in-person, or computer-based learning modules, as assigned. Ensures individual adherence to TireHub policies, procedures, and guidelines. Completes other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: Product Vision & Strategy: Defines and communicates clear product direction, roadmaps, priorities, and value outcomes for AI, automation, data, and reporting capabilities. Innovation Orientation: Commits to creating and exploring new approaches, particularly at the intersection of AI, automation, and analytics, that enhance business performance. Data-Driven Decision Making: Uses analytics, KPIs, product metrics, business outcomes, and stakeholder feedback to guide product decisions and prioritization. Business & Financial Acumen: Understands ROI, cost savings, efficiency gains, risk reduction, adoption, and business value when evaluating product investments and delivery decisions. Optimizes Work Processes: Identifies and implements efficient processes, automation opportunities, and continuous improvement practices to improve business outcomes. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT teams, vendors, and leadership to achieve shared objectives. Agility and Adaptability: Thrives in an Agile environment and embraces new technologies, methods, and business priorities in a fast-moving AI, automation, and analytics landscape. Communication: Communicates technical concepts, data insights, product priorities, and delivery progress clearly to both technical and non-technical audiences. Education and Experience: Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Engineering, or a related field required; an equivalent combination of education and experience will be considered. 5+ years of experience in product ownership, business analysis, product management, data analytics, business intelligence, automation, enterprise applications, or a related technology delivery role. 2+ years of experience applying Agile project management methodologies, preferably using JIRA or a similar tool. Experience creating product roadmaps, managing backlogs, writing user stories, defining acceptance criteria, and supporting Agile and Scrum delivery teams. Experience working with AI, automation, workflow modernization, Power Platform, Copilot, generative AI, or related emerging technology capabilities preferred. Experience with data warehouse, data lake, Lakehouse, ETL/ELT, data modeling, data governance, or enterprise reporting concepts preferred. Experience with Power BI reporting, including dashboards, datasets, KPIs, data visualization, and report adoption preferred. Experience translating business requirements into technical specifications for data, reporting, automation, or AI-enabled solutions. Strong organizational skills and demonstrated ability to manage multiple initiatives and drive them to successful, on-schedule completion. Experience working and collaborating with remote or geographically distributed team members across multiple time zones. Experience in distribution, supply chain, retail, logistics, or a similar industry preferred. Required Knowledge, Skills, and Abilities: Strong understanding of product ownership practices, including Agile delivery methodologies, backlog management, sprint planning, and stakeholder prioritization. Ability to analyze business processes, identify operational pain points, and translate improvement opportunities into clearly defined product requirements for AI, automation, data, and reporting solutions. Working knowledge of Power BI, including dashboard and report development, dataset management, KPI definition, data definitions . click apply for full job details
11/11/2026
Full time
Job Description Job Description Product Owner, Business Intelligence, Automation and AI Position Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Product Owner, Business Intelligence, Automation and AI plans and coordinates the development, enhancement, prioritization, and adoption of AI, automation, data warehouse, and Power BI reporting products with TireHub's business partners. This position provides product leadership and subject matter expertise across intelligent automation, applied AI, enterprise data, analytics, and reporting solutions. The Product Owner serves as the primary liaison between business stakeholders, technical teams, vendors, and leadership to ensure product roadmaps, backlogs, and delivered solutions align with TireHub's strategic priorities, operational needs, governance standards, and measurable business value. This position reports to Director, Enterprise Applications. The individual must exhibit the following core TireHub commitments: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to do is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we don't give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Owns, maintains, and communicates the short-term and long-term product roadmap for AI, automation, enterprise data, data warehouse, and Power BI reporting capabilities. Partners with business leaders and stakeholders to identify, evaluate, and prioritize high-value use cases for AI, workflow automation, data products, dashboards, analytics, and reporting solutions. Maintains, and accounts for product team progress to business stakeholders in bi-weekly prioritization. Works with assigned architect and business analyst on ongoing process of backlog grooming and elaboration to prepare actionable content for sprints. Works with technical leads in assigned areas to plan appropriate level of resource augmentation with offshore partners. Works with the scrum master on fine tuning the agile process for the product team through retrospectives and metric analysis. Creates, maintains, and prioritizes product backlog items, user stories, epics, acceptance criteria, and delivery priorities based on business value, urgency, customer needs, resource availability, and strategic alignment. Acts as the primary point of contact between business stakeholders, data teams, automation engineers, AI enablement teams, vendors, and IT leadership to translate business needs into clear, actionable product requirements. Guides Agile delivery teams through successful delivery of committed sprints, ensuring requirements are clearly understood, business priorities are aligned, and blockers are resolved quickly. Collaborates with AI and automation technical resources to define, evaluate, pilot, and scale solutions such as workflow automation, robotic process automation, AI agents, copilots, generative AI-enabled processes, and intelligent business workflows. Works with data engineering and BI teams to support the data warehouse lifecycle, including source data intake, data modeling, transformation requirements, data quality expectations, metadata standards, and reporting needs. Partners with Power BI developers and business stakeholders to define trusted datasets, dashboards, reports, KPIs, data definitions, report adoption plans, and actionable insights for leadership and operational teams. Supports data governance, AI governance, security, privacy, and access control requirements by ensuring solutions follow TireHub standards for responsible AI use, data protection, and approved business processes. Prepares business cases, value estimates, adoption plans, and success metrics for AI, automation, data warehouse, and reporting initiatives. Evaluates emerging AI, automation, data, and analytics tools and capabilities, coordinating pilots and proofs of concept to determine business value and implementation feasibility. Facilitates QA, UAT, and validation activities to ensure delivered solutions meet business requirements, acceptance criteria, data quality expectations, and reporting accuracy standards. Monitors product performance, adoption, user feedback, and operational outcomes to continuously improve AI, automation, data, and reporting products. Communicates product priorities, delivery progress, risks, dependencies, and value realization to stakeholders and leadership in clear business terms. Facilitates problem resolution and removes blockers that are preventing delivery progression or product adoption. Participates and maintains ongoing training requirements through in-class, in-person, or computer-based learning modules, as assigned. Ensures individual adherence to TireHub policies, procedures, and guidelines. Completes other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: Product Vision & Strategy: Defines and communicates clear product direction, roadmaps, priorities, and value outcomes for AI, automation, data, and reporting capabilities. Innovation Orientation: Commits to creating and exploring new approaches, particularly at the intersection of AI, automation, and analytics, that enhance business performance. Data-Driven Decision Making: Uses analytics, KPIs, product metrics, business outcomes, and stakeholder feedback to guide product decisions and prioritization. Business & Financial Acumen: Understands ROI, cost savings, efficiency gains, risk reduction, adoption, and business value when evaluating product investments and delivery decisions. Optimizes Work Processes: Identifies and implements efficient processes, automation opportunities, and continuous improvement practices to improve business outcomes. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT teams, vendors, and leadership to achieve shared objectives. Agility and Adaptability: Thrives in an Agile environment and embraces new technologies, methods, and business priorities in a fast-moving AI, automation, and analytics landscape. Communication: Communicates technical concepts, data insights, product priorities, and delivery progress clearly to both technical and non-technical audiences. Education and Experience: Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Engineering, or a related field required; an equivalent combination of education and experience will be considered. 5+ years of experience in product ownership, business analysis, product management, data analytics, business intelligence, automation, enterprise applications, or a related technology delivery role. 2+ years of experience applying Agile project management methodologies, preferably using JIRA or a similar tool. Experience creating product roadmaps, managing backlogs, writing user stories, defining acceptance criteria, and supporting Agile and Scrum delivery teams. Experience working with AI, automation, workflow modernization, Power Platform, Copilot, generative AI, or related emerging technology capabilities preferred. Experience with data warehouse, data lake, Lakehouse, ETL/ELT, data modeling, data governance, or enterprise reporting concepts preferred. Experience with Power BI reporting, including dashboards, datasets, KPIs, data visualization, and report adoption preferred. Experience translating business requirements into technical specifications for data, reporting, automation, or AI-enabled solutions. Strong organizational skills and demonstrated ability to manage multiple initiatives and drive them to successful, on-schedule completion. Experience working and collaborating with remote or geographically distributed team members across multiple time zones. Experience in distribution, supply chain, retail, logistics, or a similar industry preferred. Required Knowledge, Skills, and Abilities: Strong understanding of product ownership practices, including Agile delivery methodologies, backlog management, sprint planning, and stakeholder prioritization. Ability to analyze business processes, identify operational pain points, and translate improvement opportunities into clearly defined product requirements for AI, automation, data, and reporting solutions. Working knowledge of Power BI, including dashboard and report development, dataset management, KPI definition, data definitions . click apply for full job details
Job Description Job Description CLIENT HIGHLIGHT The client you will be working for is a Top 20 Fortune Global 500 Consumer Electronics and Technology Company. This opportunity will give you experience in the technology sector in the United States with a company that is a globally recognized leader in smartphones, televisions, home appliances, and semiconductor innovation - and one of the most well-known brands in the world. LOCATION Plano, Texas, 75023 COMPENSATION $40.50 per hour SCHEDULE Monday-Friday, 40 hours Fully onsite CONTRACT TERM 12 months contract with high likelihood of extension or conversion to full-time employee POSITION OVERVIEW - eCommerce Fulfillment Analyst You'll help make sure online orders get out the door on time. Each day you'll review open orders, work with the supply chain, logistics, and customer service teams to fix problems, and track shipping partners to catch delays early. You'll also watch key numbers like lead times, shipping times, and backorders, work to cut backorders and handle end-of-life products and replacements, and make sure customers see accurate delivery dates on the company's website. You'll write up the procedures behind it all and look for ways to make the process better. RESPONSIBILITIES • Run day-to-day eCommerce fulfillment operations by reviewing open orders and collaborating with teams to get orders out • Support day-to-day eCommerce demand planning by reviewing open orders and collaborating with teams to prevent backorders and ensure accurate delivery promise messaging on the company website • Evaluate logistics and shipping partner performance and surface exceptions and issues to the correct parties for resolution • Work with Supply Chain to reduce backorders, manage end-of-life (EOL) products and replacements, and proactively prevent order issues • Monitor and act on exception reporting, and track KPIs for lead times, shipping time, backorders, and shipping exceptions to progress toward operational goals for the direct eCommerce business • Develop strategies to mitigate risk and prevent obsolescence and aged inventory • Develop requirements for reporting automation and process enhancements • Create documentation and standard operating procedures for fulfillment procedures, escalations, and reporting to drive improvements • Partner with data scientists to develop and improve reporting and actionable qualitative feedback • Use surveys to analyze and drive improvements based on qualitative feedback • Partner with the customer service team to understand consumer pain points and work on initiatives to improve the customer experience • Review and approve documents, materials, and products, and monitor work processes to assess completeness, accuracy, and conformance to standards and specifications • Confer with department supervisors and other personnel to assess progress and discuss needed changes • Develop and maintain constructive and cooperative working relationships with all stakeholders REQUIRED QUALIFICATIONS/SKILLS • Bachelor's degree required • 2-5 years of relevant experience in fulfillment and direct-to-consumer eCommerce business operations • Experience with eCommerce, retail, or home appliance businesses • Extensive use of Microsoft PC software, including Excel spreadsheets, Word, and Access, and experience with SAP or similar sales order management software • Experience creating process flows, procedural documentation, and business reporting, including KPI measurement • Strong analytical, problem-solving, and decision-making skills • Excellent verbal and written communication skills, with strong attention to detail and interpersonal skills • Ability to work under pressure and deadlines, and to manage multiple projects and often competing priorities • Ability to navigate a large organization to gather information, elicit feedback, gain buy-in, and engage others in B2C activities MUST HAVE • Root Cause Analysis • Vendor Management • Quality Assurance
11/11/2026
Full time
Job Description Job Description CLIENT HIGHLIGHT The client you will be working for is a Top 20 Fortune Global 500 Consumer Electronics and Technology Company. This opportunity will give you experience in the technology sector in the United States with a company that is a globally recognized leader in smartphones, televisions, home appliances, and semiconductor innovation - and one of the most well-known brands in the world. LOCATION Plano, Texas, 75023 COMPENSATION $40.50 per hour SCHEDULE Monday-Friday, 40 hours Fully onsite CONTRACT TERM 12 months contract with high likelihood of extension or conversion to full-time employee POSITION OVERVIEW - eCommerce Fulfillment Analyst You'll help make sure online orders get out the door on time. Each day you'll review open orders, work with the supply chain, logistics, and customer service teams to fix problems, and track shipping partners to catch delays early. You'll also watch key numbers like lead times, shipping times, and backorders, work to cut backorders and handle end-of-life products and replacements, and make sure customers see accurate delivery dates on the company's website. You'll write up the procedures behind it all and look for ways to make the process better. RESPONSIBILITIES • Run day-to-day eCommerce fulfillment operations by reviewing open orders and collaborating with teams to get orders out • Support day-to-day eCommerce demand planning by reviewing open orders and collaborating with teams to prevent backorders and ensure accurate delivery promise messaging on the company website • Evaluate logistics and shipping partner performance and surface exceptions and issues to the correct parties for resolution • Work with Supply Chain to reduce backorders, manage end-of-life (EOL) products and replacements, and proactively prevent order issues • Monitor and act on exception reporting, and track KPIs for lead times, shipping time, backorders, and shipping exceptions to progress toward operational goals for the direct eCommerce business • Develop strategies to mitigate risk and prevent obsolescence and aged inventory • Develop requirements for reporting automation and process enhancements • Create documentation and standard operating procedures for fulfillment procedures, escalations, and reporting to drive improvements • Partner with data scientists to develop and improve reporting and actionable qualitative feedback • Use surveys to analyze and drive improvements based on qualitative feedback • Partner with the customer service team to understand consumer pain points and work on initiatives to improve the customer experience • Review and approve documents, materials, and products, and monitor work processes to assess completeness, accuracy, and conformance to standards and specifications • Confer with department supervisors and other personnel to assess progress and discuss needed changes • Develop and maintain constructive and cooperative working relationships with all stakeholders REQUIRED QUALIFICATIONS/SKILLS • Bachelor's degree required • 2-5 years of relevant experience in fulfillment and direct-to-consumer eCommerce business operations • Experience with eCommerce, retail, or home appliance businesses • Extensive use of Microsoft PC software, including Excel spreadsheets, Word, and Access, and experience with SAP or similar sales order management software • Experience creating process flows, procedural documentation, and business reporting, including KPI measurement • Strong analytical, problem-solving, and decision-making skills • Excellent verbal and written communication skills, with strong attention to detail and interpersonal skills • Ability to work under pressure and deadlines, and to manage multiple projects and often competing priorities • Ability to navigate a large organization to gather information, elicit feedback, gain buy-in, and engage others in B2C activities MUST HAVE • Root Cause Analysis • Vendor Management • Quality Assurance
About Miebach Miebach Consulting is one of the world's leading supply chain-focused consulting and engineering firms. For over 50 years, we have helped clients design, optimize, and implement end-to-end supply chain solutions across industries including consumer goods, food, pharma, retail, and high-tech. Our global expertise spans Supply Chain Transformation, Engineering & Operational Excellence, and Digitalization. We are proud to be recognized among SupplyChainBrain's Top 100 Supply Chain Partners, with many of Gartner's Top 25 Supply Chains relying on Miebach to support their strategic initiatives. About the role We are seeking a Process Mining Technical Analyst to provide technical support throughout process mining projects. The role focuses on data preparation, event-log development, process mining configuration, data validation, troubleshooting, and analytical support. The successful candidate must understand process and material flows, particularly within warehouse, transportation, manufacturing, or supply chain environments. They will work closely with process mining consultants, data engineers, project managers, and client teams to ensure that the required data, process logic, KPIs, and dashboards are correctly developed and validated. The role may contribute to identifying process issues and improvement opportunities, but developing business recommendations is not the primary responsibility. Key Responsibilities Project Collaboration and Delivery Work collaboratively as an active member of multidisciplinary project teams. Support process mining projects from data discovery through delivery and handover. Participate in project meetings, workshops, working sessions, and client reviews. Provide regular updates on progress, risks, dependencies, and open technical topics. Process Understanding and Requirements Understand and document operational processes and material flows. Translate business and process requirements into technical data requirements. Identify process objects, activities, timestamps, attributes, and relationships. Support data mapping between source systems and the process mining platform. Data Preparation and Process Models Extract, clean, transform, and prepare data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models. Validate data, process logic, calculations, and analytical outputs. Investigate data-quality issues, missing events, inconsistent master data, and unexpected results. Process Mining Analysis and Insights Configure process mining analyses, KPIs, dashboards, filters, and process views. Contribute to the identification of process deviations, bottlenecks, and improvement opportunities when required. Support the preparation of project deliverables, demonstrations, and client presentations. Testing and Technical Troubleshooting Troubleshoot technical issues and coordinate resolution with the project team, IT teams, and platform specialists. Prepare test cases and support system testing and user acceptance testing. Assist with validating system functionality, data connections, and analytical outputs. Documentation and Knowledge Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity with process-mining platforms such as Celonis, SAP Signavio Process Intelligence, UiPath Process Mining, IBM Process Mining, or Apromore is preferred; experience with one or more platforms is sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PIf8a54c77a20b-9205
11/10/2026
Full time
About Miebach Miebach Consulting is one of the world's leading supply chain-focused consulting and engineering firms. For over 50 years, we have helped clients design, optimize, and implement end-to-end supply chain solutions across industries including consumer goods, food, pharma, retail, and high-tech. Our global expertise spans Supply Chain Transformation, Engineering & Operational Excellence, and Digitalization. We are proud to be recognized among SupplyChainBrain's Top 100 Supply Chain Partners, with many of Gartner's Top 25 Supply Chains relying on Miebach to support their strategic initiatives. About the role We are seeking a Process Mining Technical Analyst to provide technical support throughout process mining projects. The role focuses on data preparation, event-log development, process mining configuration, data validation, troubleshooting, and analytical support. The successful candidate must understand process and material flows, particularly within warehouse, transportation, manufacturing, or supply chain environments. They will work closely with process mining consultants, data engineers, project managers, and client teams to ensure that the required data, process logic, KPIs, and dashboards are correctly developed and validated. The role may contribute to identifying process issues and improvement opportunities, but developing business recommendations is not the primary responsibility. Key Responsibilities Project Collaboration and Delivery Work collaboratively as an active member of multidisciplinary project teams. Support process mining projects from data discovery through delivery and handover. Participate in project meetings, workshops, working sessions, and client reviews. Provide regular updates on progress, risks, dependencies, and open technical topics. Process Understanding and Requirements Understand and document operational processes and material flows. Translate business and process requirements into technical data requirements. Identify process objects, activities, timestamps, attributes, and relationships. Support data mapping between source systems and the process mining platform. Data Preparation and Process Models Extract, clean, transform, and prepare data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models. Validate data, process logic, calculations, and analytical outputs. Investigate data-quality issues, missing events, inconsistent master data, and unexpected results. Process Mining Analysis and Insights Configure process mining analyses, KPIs, dashboards, filters, and process views. Contribute to the identification of process deviations, bottlenecks, and improvement opportunities when required. Support the preparation of project deliverables, demonstrations, and client presentations. Testing and Technical Troubleshooting Troubleshoot technical issues and coordinate resolution with the project team, IT teams, and platform specialists. Prepare test cases and support system testing and user acceptance testing. Assist with validating system functionality, data connections, and analytical outputs. Documentation and Knowledge Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity with process-mining platforms such as Celonis, SAP Signavio Process Intelligence, UiPath Process Mining, IBM Process Mining, or Apromore is preferred; experience with one or more platforms is sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PIf8a54c77a20b-9205
Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom Primary Function This position is a unique opportunity to serve as a hands-on BI & Analytics solutions architect and subject matter expert responsible for designing, delivering and modernizing enterprise analytics solutions across SAP and non-SAP platforms, cloud data platforms, and modern analytics ecosystems. The role will partner closely with business stakeholders and technology teams to understand business needs, define scalable solutions, lead solution delivery, and drive measurable business outcomes. This individual will be fully engaged beyond technology, gaining a deep understanding of critical business processes, managing project deliverables, and collaborating across cross-functional teams to deliver innovative and value-driven analytics solutions Responsibilities Develop a deep understanding of A. O. Smith business processes and strategy through collaboration and regular engagement with key stakeholders and process owners Support the identification and implementation of process improvement opportunities, using analytics that support organizational strategy and priorities Engage and lead high visibility Analytics projects across all BI functional areas from start to finish by Meeting with stakeholders to understand the work, collaboratively develop project charters and A3s, create, manage timelines, gather, and validate requirements; and define business value Developing functional and technical specifications that translate complex requirements into robust designs Design and develop scalable enterprise analytics solutions utilizing SAP BW/4HANA, SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS (S3, Athena, Iceberg, Glue), Tableau, Power BI, and Data Lakehouse architectures while applying Data as a Product, Hub-and-Spoke, and Data Mesh modeling principles. Design and develop scalable ELT/ETL pipelines utilizing AWS Glue, SAP Data Services (BODS), SAP SDI, SQL, Python, and cloud-native integration services. Design governed semantic models and reusable business data layers that enable self-service analytics, natural language querying, and consistent KPI definitions across reporting platforms. Develop and execute analytics modernization roadmaps supporting the transition from SAP BW on HANA to SAP Business Data Cloud (BDC), SAP Datasphere, AWS Data Lakehouse, and modern self-service analytics platforms. Design and enable AI-ready data architectures that support Large Language Models (LLMs), Retrieval Augmented Generation (RAG), semantic search, and conversational analytics capabilities. Develop and maintain solution validation, technical and functional documentation, and ensure that change management and approval processes are completed Measure actual business value realized, and conduct lessons learned Interface SAP BW with SAP and third-party analytics tools to improve usability and process efficiency Advise on development and testing proposals amongst team members across the full analytics stack Collaborate with other functional architects and business analysts to ensure end-to-end analytic needs are met Understand non-SAP business systems and support business analysts as needed Support a data driven decision culture, Analytics Road maps and Audit requests Mentor team members and functional analysts on best practices Monitor Analytics trends and best practices and identify optimization opportunities Cloud & AI Modernization Design and implement modern cloud-based analytics architectures leveraging SAP Business Data Cloud (BDC), SAP Datasphere, AWS services (Amazon S3, Athena, Glue, Iceberg), Snowflake, and Data Lakehouse patterns. Drive Data as a Product strategy by developing scalable, governed, and reusable data products that support enterprise analytics and self-service reporting. Evaluate and implement AI-powered analytics capabilities, including natural language querying, Copilot-enabled analytics, semantic models, and advanced decision-support solutions. Collaborate with business stakeholders to identify opportunities for generative AI, machine learning, and predictive analytics to improve operational efficiency and business outcomes. Qualifications Bachelor's degree in computer science, Information Systems, Mathematics, or a related field. 8+ years of experience designing and delivering enterprise analytics solutions utilizing SAP BW/4HANA and modern cloud-based analytics platforms such as SAP Business Data Cloud (BDC), SAP Datasphere, AWS, Snowflake, or equivalent cloud analytics technologies. 5+ years of experience developing enterprise reporting and analytics solutions using Business Objects, Analysis for Office, Tableau, Power BI, SAP Analytics Cloud (SAC), SSRS, or equivalent platforms. Experience leading requirements-gathering workshops, developing functional and technical specifications, defining business value, and translating complex business needs into scalable analytics solutions. Working knowledge of SAP BW/4HANA, SAP data extraction frameworks, CDS Views, SAP security concepts, SAP integration technologies, testing, data migration, cutover, user training, and hyper-care support. Experience with SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS Lakehouse architecture, or equivalent modern data platform technologies. Experience designing cloud-based data platforms and Lakehouse architecture utilizing AWS services, Snowflake, SQL, Athena, Apache Iceberg, and related analytics technologies. Experience designing governed semantic models, reusable business data layers, Data as a Product architecture, and self-service analytics solutions. Experience designing and implementing AI-enabled analytics solutions utilizing Natural Language Query (NLQ), Microsoft Copilot, Generative AI, semantic search, and conversational analytics capabilities. Experience defining, governing, and managing enterprise data products with measurable business value and adoption metrics. Experience implementing enterprise data governance, metadata management, data cataloging, business glossaries, lineage tracking, security, and compliance best practices across SAP and non-SAP analytics platforms. Strong functional knowledge of Sales, Distribution, Supply Chain, Procurement, Manufacturing, Logistics, Finance, and other enterprise business processes, including their associated data models, KPIs, reporting requirements, and ERP system integrations. Ability to troubleshoot system issues, complete complex reconciliations, and coordinate with process experts to resolve integrated business and data issues. Proven ability to mentor senior, intermediate, and junior developers and analysts. Strong relationship-building skills and the ability to communicate complex information effectively to technical and non-technical stakeholders across all levels of the organization. We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
11/10/2026
Full time
Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom Primary Function This position is a unique opportunity to serve as a hands-on BI & Analytics solutions architect and subject matter expert responsible for designing, delivering and modernizing enterprise analytics solutions across SAP and non-SAP platforms, cloud data platforms, and modern analytics ecosystems. The role will partner closely with business stakeholders and technology teams to understand business needs, define scalable solutions, lead solution delivery, and drive measurable business outcomes. This individual will be fully engaged beyond technology, gaining a deep understanding of critical business processes, managing project deliverables, and collaborating across cross-functional teams to deliver innovative and value-driven analytics solutions Responsibilities Develop a deep understanding of A. O. Smith business processes and strategy through collaboration and regular engagement with key stakeholders and process owners Support the identification and implementation of process improvement opportunities, using analytics that support organizational strategy and priorities Engage and lead high visibility Analytics projects across all BI functional areas from start to finish by Meeting with stakeholders to understand the work, collaboratively develop project charters and A3s, create, manage timelines, gather, and validate requirements; and define business value Developing functional and technical specifications that translate complex requirements into robust designs Design and develop scalable enterprise analytics solutions utilizing SAP BW/4HANA, SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS (S3, Athena, Iceberg, Glue), Tableau, Power BI, and Data Lakehouse architectures while applying Data as a Product, Hub-and-Spoke, and Data Mesh modeling principles. Design and develop scalable ELT/ETL pipelines utilizing AWS Glue, SAP Data Services (BODS), SAP SDI, SQL, Python, and cloud-native integration services. Design governed semantic models and reusable business data layers that enable self-service analytics, natural language querying, and consistent KPI definitions across reporting platforms. Develop and execute analytics modernization roadmaps supporting the transition from SAP BW on HANA to SAP Business Data Cloud (BDC), SAP Datasphere, AWS Data Lakehouse, and modern self-service analytics platforms. Design and enable AI-ready data architectures that support Large Language Models (LLMs), Retrieval Augmented Generation (RAG), semantic search, and conversational analytics capabilities. Develop and maintain solution validation, technical and functional documentation, and ensure that change management and approval processes are completed Measure actual business value realized, and conduct lessons learned Interface SAP BW with SAP and third-party analytics tools to improve usability and process efficiency Advise on development and testing proposals amongst team members across the full analytics stack Collaborate with other functional architects and business analysts to ensure end-to-end analytic needs are met Understand non-SAP business systems and support business analysts as needed Support a data driven decision culture, Analytics Road maps and Audit requests Mentor team members and functional analysts on best practices Monitor Analytics trends and best practices and identify optimization opportunities Cloud & AI Modernization Design and implement modern cloud-based analytics architectures leveraging SAP Business Data Cloud (BDC), SAP Datasphere, AWS services (Amazon S3, Athena, Glue, Iceberg), Snowflake, and Data Lakehouse patterns. Drive Data as a Product strategy by developing scalable, governed, and reusable data products that support enterprise analytics and self-service reporting. Evaluate and implement AI-powered analytics capabilities, including natural language querying, Copilot-enabled analytics, semantic models, and advanced decision-support solutions. Collaborate with business stakeholders to identify opportunities for generative AI, machine learning, and predictive analytics to improve operational efficiency and business outcomes. Qualifications Bachelor's degree in computer science, Information Systems, Mathematics, or a related field. 8+ years of experience designing and delivering enterprise analytics solutions utilizing SAP BW/4HANA and modern cloud-based analytics platforms such as SAP Business Data Cloud (BDC), SAP Datasphere, AWS, Snowflake, or equivalent cloud analytics technologies. 5+ years of experience developing enterprise reporting and analytics solutions using Business Objects, Analysis for Office, Tableau, Power BI, SAP Analytics Cloud (SAC), SSRS, or equivalent platforms. Experience leading requirements-gathering workshops, developing functional and technical specifications, defining business value, and translating complex business needs into scalable analytics solutions. Working knowledge of SAP BW/4HANA, SAP data extraction frameworks, CDS Views, SAP security concepts, SAP integration technologies, testing, data migration, cutover, user training, and hyper-care support. Experience with SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS Lakehouse architecture, or equivalent modern data platform technologies. Experience designing cloud-based data platforms and Lakehouse architecture utilizing AWS services, Snowflake, SQL, Athena, Apache Iceberg, and related analytics technologies. Experience designing governed semantic models, reusable business data layers, Data as a Product architecture, and self-service analytics solutions. Experience designing and implementing AI-enabled analytics solutions utilizing Natural Language Query (NLQ), Microsoft Copilot, Generative AI, semantic search, and conversational analytics capabilities. Experience defining, governing, and managing enterprise data products with measurable business value and adoption metrics. Experience implementing enterprise data governance, metadata management, data cataloging, business glossaries, lineage tracking, security, and compliance best practices across SAP and non-SAP analytics platforms. Strong functional knowledge of Sales, Distribution, Supply Chain, Procurement, Manufacturing, Logistics, Finance, and other enterprise business processes, including their associated data models, KPIs, reporting requirements, and ERP system integrations. Ability to troubleshoot system issues, complete complex reconciliations, and coordinate with process experts to resolve integrated business and data issues. Proven ability to mentor senior, intermediate, and junior developers and analysts. Strong relationship-building skills and the ability to communicate complex information effectively to technical and non-technical stakeholders across all levels of the organization. We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom. Please Note : At this time, we are unable to provide visa sponsorship for this role. Candidates must be authorized to work in the United States without sponsorship now or in the future. Primary Function The SAP Supply Chain Senior Solutions Architect is responsible for defining, governing, and delivering enterprise supply chain technology solutions with a primary focus on SAP Materials Management (MM) and related business processes. This role serves as a strategic technology leader for Materials Management, Procurement, Vendor Management, Master Data, Logistics Execution, Inventory Management, and Warehouse Management capabilities. The position partners closely with business stakeholders, enterprise architects, vendors, and delivery teams to develop technology roadmaps, drive innovation, and ensure scalable, secure, and sustainable solutions that support business objectives. Role Specific Responsibilities Solution Architecture & Strategy Lead architecture and solution design activities for SAP MM and related Supply Chain processes. Define and maintain the long-term technology roadmap for Materials Management and supporting Supply Chain applications. Ensure alignment of solutions with enterprise architecture standards, cybersecurity requirements, and business strategy. Evaluate emerging technologies and recommend opportunities for modernization, automation, AI, and digital transformation. Business Process & Functional Leadership Provide subject matter expertise in: SAP Materials Management (MM) Procurement and Purchasing Vendor Management MM Master Data Governance Logistics Execution Inventory Management and Warehouse Management (WM/EWM) Collaborate with business leaders to identify process improvements and technology opportunities. Translate business requirements into scalable solution architectures and implementation roadmaps. Application Ownership & Integration Own the architecture, support strategy, and lifecycle management for SAP MM and associated Supply Chain solutions. Provide architectural oversight for integrations between SAP and non-SAP applications. Maintain accountability for business-critical integrated solutions, including vendor portals, external supply chain applications, and related platforms. Ensure system reliability, performance, scalability, and supportability. Governance & Delivery Lead architecture reviews and solution governance activities. Establish and enforce design standards, best practices, and development guidelines. Support project delivery teams through design reviews, risk assessments, and solution validation. Drive continuous improvement initiatives across Supply Chain Systems. Vendor & Stakeholder Management Manage strategic relationships with software vendors, implementation partners, and service providers. Provide technical leadership and guidance to analysts, developers, and project teams. Influence business and technology stakeholders through effective communication and strategic planning. Qualifications Required Qualifications Bachelor's degree in Information Technology, Supply Chain, Business, Engineering, or a related discipline. 7+ years of experience in SAP Supply Chain solution architecture, consulting, implementation, or enterprise application leadership. Deep expertise in SAP Materials Management (MM), Procurement, Vendor Management, Material Master, Logistics Execution, and Inventory Management Experience supporting SAP ECC and/or SAP S/4HANA environments including SAP Configuration, Functional Specifications, Testing, SAP Implementations, Material Master, Purchasing Demonstrated experience leading enterprise-scale solution design and architecture governance. Experience integrating SAP solutions with non-SAP applications and external platforms. Strong analytical, communication, leadership, and stakeholder management skills. Preferred Qualifications Experience leading large-scale ERP transformation or modernization initiatives. Knowledge of enterprise integration platforms, APIs, middleware, and cloud technologies. Experience with data governance, master data management, and reporting solutions. SAP certification(s) in MM, S/4HANA, or related Supply Chain disciplines. Experience with SAP WM and/or SAP EWM. Success Measures Delivery of scalable, secure, and supportable Supply Chain solutions. Alignment of technology investments with business strategy and roadmap objectives. Improved operational efficiency, process standardization, and user experience. Effective governance of SAP and integrated Supply Chain platforms. Strong vendor partnerships and successful execution of strategic initiatives, We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
11/08/2026
Full time
Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom. Please Note : At this time, we are unable to provide visa sponsorship for this role. Candidates must be authorized to work in the United States without sponsorship now or in the future. Primary Function The SAP Supply Chain Senior Solutions Architect is responsible for defining, governing, and delivering enterprise supply chain technology solutions with a primary focus on SAP Materials Management (MM) and related business processes. This role serves as a strategic technology leader for Materials Management, Procurement, Vendor Management, Master Data, Logistics Execution, Inventory Management, and Warehouse Management capabilities. The position partners closely with business stakeholders, enterprise architects, vendors, and delivery teams to develop technology roadmaps, drive innovation, and ensure scalable, secure, and sustainable solutions that support business objectives. Role Specific Responsibilities Solution Architecture & Strategy Lead architecture and solution design activities for SAP MM and related Supply Chain processes. Define and maintain the long-term technology roadmap for Materials Management and supporting Supply Chain applications. Ensure alignment of solutions with enterprise architecture standards, cybersecurity requirements, and business strategy. Evaluate emerging technologies and recommend opportunities for modernization, automation, AI, and digital transformation. Business Process & Functional Leadership Provide subject matter expertise in: SAP Materials Management (MM) Procurement and Purchasing Vendor Management MM Master Data Governance Logistics Execution Inventory Management and Warehouse Management (WM/EWM) Collaborate with business leaders to identify process improvements and technology opportunities. Translate business requirements into scalable solution architectures and implementation roadmaps. Application Ownership & Integration Own the architecture, support strategy, and lifecycle management for SAP MM and associated Supply Chain solutions. Provide architectural oversight for integrations between SAP and non-SAP applications. Maintain accountability for business-critical integrated solutions, including vendor portals, external supply chain applications, and related platforms. Ensure system reliability, performance, scalability, and supportability. Governance & Delivery Lead architecture reviews and solution governance activities. Establish and enforce design standards, best practices, and development guidelines. Support project delivery teams through design reviews, risk assessments, and solution validation. Drive continuous improvement initiatives across Supply Chain Systems. Vendor & Stakeholder Management Manage strategic relationships with software vendors, implementation partners, and service providers. Provide technical leadership and guidance to analysts, developers, and project teams. Influence business and technology stakeholders through effective communication and strategic planning. Qualifications Required Qualifications Bachelor's degree in Information Technology, Supply Chain, Business, Engineering, or a related discipline. 7+ years of experience in SAP Supply Chain solution architecture, consulting, implementation, or enterprise application leadership. Deep expertise in SAP Materials Management (MM), Procurement, Vendor Management, Material Master, Logistics Execution, and Inventory Management Experience supporting SAP ECC and/or SAP S/4HANA environments including SAP Configuration, Functional Specifications, Testing, SAP Implementations, Material Master, Purchasing Demonstrated experience leading enterprise-scale solution design and architecture governance. Experience integrating SAP solutions with non-SAP applications and external platforms. Strong analytical, communication, leadership, and stakeholder management skills. Preferred Qualifications Experience leading large-scale ERP transformation or modernization initiatives. Knowledge of enterprise integration platforms, APIs, middleware, and cloud technologies. Experience with data governance, master data management, and reporting solutions. SAP certification(s) in MM, S/4HANA, or related Supply Chain disciplines. Experience with SAP WM and/or SAP EWM. Success Measures Delivery of scalable, secure, and supportable Supply Chain solutions. Alignment of technology investments with business strategy and roadmap objectives. Improved operational efficiency, process standardization, and user experience. Effective governance of SAP and integrated Supply Chain platforms. Strong vendor partnerships and successful execution of strategic initiatives, We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
Description: ESSENTIAL FUNCTIONS AND DUTIES: INTERFACE DEVELOPMENT • Develop, test, document, and maintain inbound and outbound data interfaces. • Create and modify SSIS (SQL Server Integration Services) packages and processes in the Managed File Transfer system (GoAnywhere/Cleo) and business integration applications (Cleo Clarify/Azure). • Work with Analysts and Business Users to translate functional specifications into technical designs for implementation and deployment. • Thoroughly test all work before releasing code to production by developing and executing test plans and scenarios, including data design, tool design, and data extract/transform. • Begin participating in customer-facing development work for integrations under guidance from senior developers. T-SQL DEVELOPMENT • Understand database concepts as well as the implications of different database designs. • Develop well-designed reusable database objects with guidance as needed, including tables, stored procedures, views, triggers, and indexes. • Continually review and improve performance of stored procedures and SQL queries. • Participate in peer reviews of database and integration changes to ensure consistent methodologies are followed. SUPPORT • Monitor interface processing environments, including summary reporting/alerting, for exception events and implement changes to avoid recurrence. • Responsible for updating and closing assigned tasks/helpdesk tickets within Jira and maintaining Business Integration documentation. • Evaluate customer data issues and implement solutions to avoid recurrence; participate in 24/7 on-call rotation for all assigned interfaces. • Communicate effectively with clients to identify needs and evaluate alternative business solutions with project management. Requirements: QUALIFICATIONS & REQUIREMENTS Education & Experience • Bachelor's degree in Computer Science, Information Systems, or a related field; or equivalent combination of education and experience. • 2-4 years of experience in interface/integration development, database development, or related technical support. • Working knowledge of relational database design and data interface/integration concepts. Required Skills • Proficiency in T-SQL, including tables, stored procedures, views, triggers, and indexes. • Working knowledge of SSIS package development and Managed File Transfer or business integration platforms (GoAnywhere/Cleo, Azure). • Ability to translate functional specifications into sound technical designs. • Strong analytical and troubleshooting skills for interface and data issues. • Effective communication skills for both technical and customer-facing interactions. ESSENTIAL PHYSICAL REQUIREMENTS AND WORK ENVIRONMENT Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to talk or hear. The employee regularly is required to stand; walk; use hands to finger, handle, or feel; and reach with hands and arms. The employee is regularly required to sit for long periods of time; on occasion may need to climb or balance; and stoop, or kneel. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision; distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment: 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 individuals with disabilities to perform the essential functions. The noise level in the work environment and job sites is usually low, applicable to a business office. C-TPAT Century is committed to the Customs Trade Partnership against Terrorism (C-TPAT) program. Century will take all the necessary steps to implement and enhance security throughout our global supply chain. All employees are required to immediately report any anomalies to the Century USA and Asia C-TPAT contacts. The above is a description of the current essential functions and duties and responsibilities of your position. This document in no way states or implies that these are the only duties to be performed by the employee occupying this position. At the Company's discretion, these essential functions, duties and responsibilities may be modified in the future to meet the business needs of the Company. This document does not create an employment contract, implied or otherwise, other than an "at will" employment relationship. PM22 Compensation details: 0 Yearly Salary PI9d46aeac39d1-7806
11/08/2026
Full time
Description: ESSENTIAL FUNCTIONS AND DUTIES: INTERFACE DEVELOPMENT • Develop, test, document, and maintain inbound and outbound data interfaces. • Create and modify SSIS (SQL Server Integration Services) packages and processes in the Managed File Transfer system (GoAnywhere/Cleo) and business integration applications (Cleo Clarify/Azure). • Work with Analysts and Business Users to translate functional specifications into technical designs for implementation and deployment. • Thoroughly test all work before releasing code to production by developing and executing test plans and scenarios, including data design, tool design, and data extract/transform. • Begin participating in customer-facing development work for integrations under guidance from senior developers. T-SQL DEVELOPMENT • Understand database concepts as well as the implications of different database designs. • Develop well-designed reusable database objects with guidance as needed, including tables, stored procedures, views, triggers, and indexes. • Continually review and improve performance of stored procedures and SQL queries. • Participate in peer reviews of database and integration changes to ensure consistent methodologies are followed. SUPPORT • Monitor interface processing environments, including summary reporting/alerting, for exception events and implement changes to avoid recurrence. • Responsible for updating and closing assigned tasks/helpdesk tickets within Jira and maintaining Business Integration documentation. • Evaluate customer data issues and implement solutions to avoid recurrence; participate in 24/7 on-call rotation for all assigned interfaces. • Communicate effectively with clients to identify needs and evaluate alternative business solutions with project management. Requirements: QUALIFICATIONS & REQUIREMENTS Education & Experience • Bachelor's degree in Computer Science, Information Systems, or a related field; or equivalent combination of education and experience. • 2-4 years of experience in interface/integration development, database development, or related technical support. • Working knowledge of relational database design and data interface/integration concepts. Required Skills • Proficiency in T-SQL, including tables, stored procedures, views, triggers, and indexes. • Working knowledge of SSIS package development and Managed File Transfer or business integration platforms (GoAnywhere/Cleo, Azure). • Ability to translate functional specifications into sound technical designs. • Strong analytical and troubleshooting skills for interface and data issues. • Effective communication skills for both technical and customer-facing interactions. ESSENTIAL PHYSICAL REQUIREMENTS AND WORK ENVIRONMENT Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to talk or hear. The employee regularly is required to stand; walk; use hands to finger, handle, or feel; and reach with hands and arms. The employee is regularly required to sit for long periods of time; on occasion may need to climb or balance; and stoop, or kneel. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision; distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment: 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 individuals with disabilities to perform the essential functions. The noise level in the work environment and job sites is usually low, applicable to a business office. C-TPAT Century is committed to the Customs Trade Partnership against Terrorism (C-TPAT) program. Century will take all the necessary steps to implement and enhance security throughout our global supply chain. All employees are required to immediately report any anomalies to the Century USA and Asia C-TPAT contacts. The above is a description of the current essential functions and duties and responsibilities of your position. This document in no way states or implies that these are the only duties to be performed by the employee occupying this position. At the Company's discretion, these essential functions, duties and responsibilities may be modified in the future to meet the business needs of the Company. This document does not create an employment contract, implied or otherwise, other than an "at will" employment relationship. PM22 Compensation details: 0 Yearly Salary PI9d46aeac39d1-7806
Miebach is seeking a Process Mining Technical Analyst to support process mining projects from data discovery through delivery. You will prepare and validate operational data, develop event logs and process models, configure analyses and dashboards, troubleshoot technical issues, and document project requirements and results. The role works with client teams and consultants across supply chain, warehouse, transportation, and manufacturing environments. Responsibilities Collaborate with multidisciplinary teams and support projects from data discovery through delivery and handover. Document operational processes and translate requirements into technical data specifications and source-system mappings. Extract, clean, transform, and prepare operational data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models; validate data, process logic, and analytical outputs. Configure process mining analyses, KPIs, dashboards, filters, and process views; investigate deviations and bottlenecks. Troubleshoot technical issues, support testing and user acceptance testing, and maintain technical documentation. Required Skills SQLData extraction Data cleaning and transformation Event-log development Process mining configuration Data modeling Data validation KPI and dashboard configuration Operational data analysis System testing and troubleshooting
11/03/2026
Full time
Miebach is seeking a Process Mining Technical Analyst to support process mining projects from data discovery through delivery. You will prepare and validate operational data, develop event logs and process models, configure analyses and dashboards, troubleshoot technical issues, and document project requirements and results. The role works with client teams and consultants across supply chain, warehouse, transportation, and manufacturing environments. Responsibilities Collaborate with multidisciplinary teams and support projects from data discovery through delivery and handover. Document operational processes and translate requirements into technical data specifications and source-system mappings. Extract, clean, transform, and prepare operational data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models; validate data, process logic, and analytical outputs. Configure process mining analyses, KPIs, dashboards, filters, and process views; investigate deviations and bottlenecks. Troubleshoot technical issues, support testing and user acceptance testing, and maintain technical documentation. Required Skills SQLData extraction Data cleaning and transformation Event-log development Process mining configuration Data modeling Data validation KPI and dashboard configuration Operational data analysis System testing and troubleshooting
About Miebach Miebach Consulting is one of the world's leading supply chain-focused consulting and engineering firms. For over 50 years, we have helped clients design, optimize, and implement end-to-end supply chain solutions across industries including consumer goods, food, pharma, retail, and high-tech. Our global expertise spans Supply Chain Transformation, Engineering & Operational Excellence, and Digitalization. We are proud to be recognized among SupplyChainBrain's Top 100 Supply Chain Partners, with many of Gartner's Top 25 Supply Chains relying on Miebach to support their strategic initiatives. About the role We are seeking a Process Mining Technical Analyst to provide technical support throughout process mining projects. The role focuses on data preparation, event-log development, process mining configuration, data validation, troubleshooting, and analytical support. The successful candidate must understand process and material flows, particularly within warehouse, transportation, manufacturing, or supply chain environments. They will work closely with process mining consultants, data engineers, project managers, and client teams to ensure that the required data, process logic, KPIs, and dashboards are correctly developed and validated. The role may contribute to identifying process issues and improvement opportunities, but developing business recommendations is not the primary responsibility. Key Responsibilities Project Collaboration and Delivery Work collaboratively as an active member of multidisciplinary project teams. Support process mining projects from data discovery through delivery and handover. Participate in project meetings, workshops, working sessions, and client reviews. Provide regular updates on progress, risks, dependencies, and open technical topics. Process Understanding and Requirements Understand and document operational processes and material flows. Translate business and process requirements into technical data requirements. Identify process objects, activities, timestamps, attributes, and relationships. Support data mapping between source systems and the process mining platform. Data Preparation and Process Models Extract, clean, transform, and prepare data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models. Validate data, process logic, calculations, and analytical outputs. Investigate data-quality issues, missing events, inconsistent master data, and unexpected results. Process Mining Analysis and Insights Configure process mining analyses, KPIs, dashboards, filters, and process views. Contribute to the identification of process deviations, bottlenecks, and improvement opportunities when required. Support the preparation of project deliverables, demonstrations, and client presentations. Testing and Technical Troubleshooting Troubleshoot technical issues and coordinate resolution with the project team, IT teams, and platform specialists. Prepare test cases and support system testing and user acceptance testing. Assist with validating system functionality, data connections, and analytical outputs. Documentation and Knowledge Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity with process-mining platforms such as Celonis, SAP Signavio Process Intelligence, UiPath Process Mining, IBM Process Mining, or Apromore is preferred; experience with one or more platforms is sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PI8211be5-
11/02/2026
Full time
About Miebach Miebach Consulting is one of the world's leading supply chain-focused consulting and engineering firms. For over 50 years, we have helped clients design, optimize, and implement end-to-end supply chain solutions across industries including consumer goods, food, pharma, retail, and high-tech. Our global expertise spans Supply Chain Transformation, Engineering & Operational Excellence, and Digitalization. We are proud to be recognized among SupplyChainBrain's Top 100 Supply Chain Partners, with many of Gartner's Top 25 Supply Chains relying on Miebach to support their strategic initiatives. About the role We are seeking a Process Mining Technical Analyst to provide technical support throughout process mining projects. The role focuses on data preparation, event-log development, process mining configuration, data validation, troubleshooting, and analytical support. The successful candidate must understand process and material flows, particularly within warehouse, transportation, manufacturing, or supply chain environments. They will work closely with process mining consultants, data engineers, project managers, and client teams to ensure that the required data, process logic, KPIs, and dashboards are correctly developed and validated. The role may contribute to identifying process issues and improvement opportunities, but developing business recommendations is not the primary responsibility. Key Responsibilities Project Collaboration and Delivery Work collaboratively as an active member of multidisciplinary project teams. Support process mining projects from data discovery through delivery and handover. Participate in project meetings, workshops, working sessions, and client reviews. Provide regular updates on progress, risks, dependencies, and open technical topics. Process Understanding and Requirements Understand and document operational processes and material flows. Translate business and process requirements into technical data requirements. Identify process objects, activities, timestamps, attributes, and relationships. Support data mapping between source systems and the process mining platform. Data Preparation and Process Models Extract, clean, transform, and prepare data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models. Validate data, process logic, calculations, and analytical outputs. Investigate data-quality issues, missing events, inconsistent master data, and unexpected results. Process Mining Analysis and Insights Configure process mining analyses, KPIs, dashboards, filters, and process views. Contribute to the identification of process deviations, bottlenecks, and improvement opportunities when required. Support the preparation of project deliverables, demonstrations, and client presentations. Testing and Technical Troubleshooting Troubleshoot technical issues and coordinate resolution with the project team, IT teams, and platform specialists. Prepare test cases and support system testing and user acceptance testing. Assist with validating system functionality, data connections, and analytical outputs. Documentation and Knowledge Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity with process-mining platforms such as Celonis, SAP Signavio Process Intelligence, UiPath Process Mining, IBM Process Mining, or Apromore is preferred; experience with one or more platforms is sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PI8211be5-
Description: ESSENTIAL FUNCTIONS AND DUTIES: INTERFACE DEVELOPMENT • Develop, test, document, and maintain inbound and outbound data interfaces. • Create and modify SSIS (SQL Server Integration Services) packages and processes in the Managed File Transfer system (GoAnywhere/Cleo) and business integration applications (Cleo Clarify/Azure). • Work with Analysts and Business Users to translate functional specifications into technical designs for implementation and deployment. • Thoroughly test all work before releasing code to production by developing and executing test plans and scenarios, including data design, tool design, and data extract/transform. • Begin participating in customer-facing development work for integrations under guidance from senior developers. T-SQL DEVELOPMENT • Understand database concepts as well as the implications of different database designs. • Develop well-designed reusable database objects with guidance as needed, including tables, stored procedures, views, triggers, and indexes. • Continually review and improve performance of stored procedures and SQL queries. • Participate in peer reviews of database and integration changes to ensure consistent methodologies are followed. SUPPORT • Monitor interface processing environments, including summary reporting/alerting, for exception events and implement changes to avoid recurrence. • Responsible for updating and closing assigned tasks/helpdesk tickets within Jira and maintaining Business Integration documentation. • Evaluate customer data issues and implement solutions to avoid recurrence; participate in 24/7 on-call rotation for all assigned interfaces. • Communicate effectively with clients to identify needs and evaluate alternative business solutions with project management. Requirements: QUALIFICATIONS & REQUIREMENTS Education & Experience • Bachelor's degree in Computer Science, Information Systems, or a related field; or equivalent combination of education and experience. • 2-4 years of experience in interface/integration development, database development, or related technical support. • Working knowledge of relational database design and data interface/integration concepts. Required Skills • Proficiency in T-SQL, including tables, stored procedures, views, triggers, and indexes. • Working knowledge of SSIS package development and Managed File Transfer or business integration platforms (GoAnywhere/Cleo, Azure). • Ability to translate functional specifications into sound technical designs. • Strong analytical and troubleshooting skills for interface and data issues. • Effective communication skills for both technical and customer-facing interactions. ESSENTIAL PHYSICAL REQUIREMENTS AND WORK ENVIRONMENT Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to talk or hear. The employee regularly is required to stand; walk; use hands to finger, handle, or feel; and reach with hands and arms. The employee is regularly required to sit for long periods of time; on occasion may need to climb or balance; and stoop, or kneel. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision; distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment: 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 individuals with disabilities to perform the essential functions. The noise level in the work environment and job sites is usually low, applicable to a business office. C-TPAT Century is committed to the Customs Trade Partnership against Terrorism (C-TPAT) program. Century will take all the necessary steps to implement and enhance security throughout our global supply chain. All employees are required to immediately report any anomalies to the Century USA and Asia C-TPAT contacts. The above is a description of the current essential functions and duties and responsibilities of your position. This document in no way states or implies that these are the only duties to be performed by the employee occupying this position. At the Company's discretion, these essential functions, duties and responsibilities may be modified in the future to meet the business needs of the Company. This document does not create an employment contract, implied or otherwise, other than an "at will" employment relationship. PM22 Compensation details: 0 Yearly Salary PI9cdeaa738e6d-7806
11/02/2026
Full time
Description: ESSENTIAL FUNCTIONS AND DUTIES: INTERFACE DEVELOPMENT • Develop, test, document, and maintain inbound and outbound data interfaces. • Create and modify SSIS (SQL Server Integration Services) packages and processes in the Managed File Transfer system (GoAnywhere/Cleo) and business integration applications (Cleo Clarify/Azure). • Work with Analysts and Business Users to translate functional specifications into technical designs for implementation and deployment. • Thoroughly test all work before releasing code to production by developing and executing test plans and scenarios, including data design, tool design, and data extract/transform. • Begin participating in customer-facing development work for integrations under guidance from senior developers. T-SQL DEVELOPMENT • Understand database concepts as well as the implications of different database designs. • Develop well-designed reusable database objects with guidance as needed, including tables, stored procedures, views, triggers, and indexes. • Continually review and improve performance of stored procedures and SQL queries. • Participate in peer reviews of database and integration changes to ensure consistent methodologies are followed. SUPPORT • Monitor interface processing environments, including summary reporting/alerting, for exception events and implement changes to avoid recurrence. • Responsible for updating and closing assigned tasks/helpdesk tickets within Jira and maintaining Business Integration documentation. • Evaluate customer data issues and implement solutions to avoid recurrence; participate in 24/7 on-call rotation for all assigned interfaces. • Communicate effectively with clients to identify needs and evaluate alternative business solutions with project management. Requirements: QUALIFICATIONS & REQUIREMENTS Education & Experience • Bachelor's degree in Computer Science, Information Systems, or a related field; or equivalent combination of education and experience. • 2-4 years of experience in interface/integration development, database development, or related technical support. • Working knowledge of relational database design and data interface/integration concepts. Required Skills • Proficiency in T-SQL, including tables, stored procedures, views, triggers, and indexes. • Working knowledge of SSIS package development and Managed File Transfer or business integration platforms (GoAnywhere/Cleo, Azure). • Ability to translate functional specifications into sound technical designs. • Strong analytical and troubleshooting skills for interface and data issues. • Effective communication skills for both technical and customer-facing interactions. ESSENTIAL PHYSICAL REQUIREMENTS AND WORK ENVIRONMENT Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to talk or hear. The employee regularly is required to stand; walk; use hands to finger, handle, or feel; and reach with hands and arms. The employee is regularly required to sit for long periods of time; on occasion may need to climb or balance; and stoop, or kneel. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision; distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment: 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 individuals with disabilities to perform the essential functions. The noise level in the work environment and job sites is usually low, applicable to a business office. C-TPAT Century is committed to the Customs Trade Partnership against Terrorism (C-TPAT) program. Century will take all the necessary steps to implement and enhance security throughout our global supply chain. All employees are required to immediately report any anomalies to the Century USA and Asia C-TPAT contacts. The above is a description of the current essential functions and duties and responsibilities of your position. This document in no way states or implies that these are the only duties to be performed by the employee occupying this position. At the Company's discretion, these essential functions, duties and responsibilities may be modified in the future to meet the business needs of the Company. This document does not create an employment contract, implied or otherwise, other than an "at will" employment relationship. PM22 Compensation details: 0 Yearly Salary PI9cdeaa738e6d-7806
Hartzell Propeller seeks an ERP Support Specialist II to support and enhance our enterprise systems in a precision manufacturing environment. In this role, you will troubleshoot and resolve ERP incidents, configure workflows, and partner with production, supply chain, and finance teams to improve business processes. You will develop reports and queries, ensure data accuracy, and assist with upgrades, testing, and user training. Working in a culture focused on safety, quality, and innovation, you'll help drive continuous improvement and reliability across our global aviation operations. Responsibilities Provide day-to-day ERP application support to manufacturing, supply chain, finance, and other business users Troubleshoot, analyze, and resolve ERP incidents, documenting root causes and preventive actions Configure ERP modules, workflows, and user settings to support evolving business needs Develop and maintain SQL queries and reports to support operations, finance, and management Support ERP upgrades, patches, and new module implementations through testing and validation Ensure data integrity and accuracy across ERP modules, coordinating corrections with business owners Collaborate with cross-functional teams to analyze and improve business processes using ERP capabilities Create and maintain user documentation, job aids, and standard operating procedures for ERP processes Deliver user training and coaching to enhance ERP adoption and effective system use Participate in continuous improvement, leveraging ERP data to drive safety, quality, and efficiency gains Required Skills ERP systems administration Manufacturing workflows (MRP, BOM, routing) SQL and database querying Report development (e.g., SSRS, Power BI) Business process analysis User training and documentation Application configuration and testing Issue tracking and ticketing tools Basic scripting or automation Data integrity and quality assurance
11/01/2026
Full time
Hartzell Propeller seeks an ERP Support Specialist II to support and enhance our enterprise systems in a precision manufacturing environment. In this role, you will troubleshoot and resolve ERP incidents, configure workflows, and partner with production, supply chain, and finance teams to improve business processes. You will develop reports and queries, ensure data accuracy, and assist with upgrades, testing, and user training. Working in a culture focused on safety, quality, and innovation, you'll help drive continuous improvement and reliability across our global aviation operations. Responsibilities Provide day-to-day ERP application support to manufacturing, supply chain, finance, and other business users Troubleshoot, analyze, and resolve ERP incidents, documenting root causes and preventive actions Configure ERP modules, workflows, and user settings to support evolving business needs Develop and maintain SQL queries and reports to support operations, finance, and management Support ERP upgrades, patches, and new module implementations through testing and validation Ensure data integrity and accuracy across ERP modules, coordinating corrections with business owners Collaborate with cross-functional teams to analyze and improve business processes using ERP capabilities Create and maintain user documentation, job aids, and standard operating procedures for ERP processes Deliver user training and coaching to enhance ERP adoption and effective system use Participate in continuous improvement, leveraging ERP data to drive safety, quality, and efficiency gains Required Skills ERP systems administration Manufacturing workflows (MRP, BOM, routing) SQL and database querying Report development (e.g., SSRS, Power BI) Business process analysis User training and documentation Application configuration and testing Issue tracking and ticketing tools Basic scripting or automation Data integrity and quality assurance
Starbucks is seeking a Senior/Lead Decision Scientist to shape data-driven strategy across its global coffeehouse business. In this role, you will partner with Retail, Supply Chain, and Marketing teams to design experiments, build predictive and optimization models, and translate complex data into clear, actionable insights. You will lead advanced analytics projects, define key metrics, and develop dashboards that guide pricing, assortment, and customer experience decisions. You will mentor other analysts, champion best practices in experimentation and data ethics, and help embed a culture of evidence-based decision making across Starbucks. Responsibilities Lead design and analysis of experiments to optimize pricing, promotions, and customer experience Build and deploy predictive and optimization models to support retail and supply chain decisions Develop dashboards and self-serve analytics tools for stakeholders Define and refine key performance metrics and measurement frameworks Translate complex analytical findings into clear, actionable business recommendations Partner with cross-functional teams in Marketing, Operations, and Supply Chain Mentor and guide junior analysts and decision scientists Promote best practices in data quality, experimentation, and analytics governance Required Skills Statistical modeling A/B testing and experimentation design Machine learning SQLPython or RData visualization (Tableau/Power BI) Predictive analytics Optimization and forecasting Big data tools (e.g., Spark, Hive) Business intelligence and dashboarding
11/01/2026
Full time
Starbucks is seeking a Senior/Lead Decision Scientist to shape data-driven strategy across its global coffeehouse business. In this role, you will partner with Retail, Supply Chain, and Marketing teams to design experiments, build predictive and optimization models, and translate complex data into clear, actionable insights. You will lead advanced analytics projects, define key metrics, and develop dashboards that guide pricing, assortment, and customer experience decisions. You will mentor other analysts, champion best practices in experimentation and data ethics, and help embed a culture of evidence-based decision making across Starbucks. Responsibilities Lead design and analysis of experiments to optimize pricing, promotions, and customer experience Build and deploy predictive and optimization models to support retail and supply chain decisions Develop dashboards and self-serve analytics tools for stakeholders Define and refine key performance metrics and measurement frameworks Translate complex analytical findings into clear, actionable business recommendations Partner with cross-functional teams in Marketing, Operations, and Supply Chain Mentor and guide junior analysts and decision scientists Promote best practices in data quality, experimentation, and analytics governance Required Skills Statistical modeling A/B testing and experimentation design Machine learning SQLPython or RData visualization (Tableau/Power BI) Predictive analytics Optimization and forecasting Big data tools (e.g., Spark, Hive) Business intelligence and dashboarding
Retail Odyssey is seeking a detail-oriented and strategically minded Retail Data Collector to join our innovative retail operations team. As a Retail Data Collector, you will be vital in optimizing merchandising and supply chain operations by gathering critical data directly from the sales floor. Your insights will assist in enhancing store performance and driving significant sales growth. Working closely with planogram analysts and the merchandising team, you will ensure that our retail solutions are executed with precision, maintaining our commitment to our partners nationwide. Responsibilities Collect, record, and maintain accurate retail data regarding sales figures, inventory levels, and customer engagement metrics. Work with the merchandising team to implement and refine planograms based on data findings. Report discrepancies and adjustments to ensure database and display accuracy. Regularly audit in-store promotions and pricing for compliance and competitiveness. Collaborate with the retail analytics team to contribute data-driven insights for strategic planning. Required Skills Strong analytical abilities and attention to detail Proficient in Microsoft Excel and data collection software Excellent organizational and time-management skills Ability to work independently and as part of a team Good communication skills to report findings effectively
10/25/2026
Full time
Retail Odyssey is seeking a detail-oriented and strategically minded Retail Data Collector to join our innovative retail operations team. As a Retail Data Collector, you will be vital in optimizing merchandising and supply chain operations by gathering critical data directly from the sales floor. Your insights will assist in enhancing store performance and driving significant sales growth. Working closely with planogram analysts and the merchandising team, you will ensure that our retail solutions are executed with precision, maintaining our commitment to our partners nationwide. Responsibilities Collect, record, and maintain accurate retail data regarding sales figures, inventory levels, and customer engagement metrics. Work with the merchandising team to implement and refine planograms based on data findings. Report discrepancies and adjustments to ensure database and display accuracy. Regularly audit in-store promotions and pricing for compliance and competitiveness. Collaborate with the retail analytics team to contribute data-driven insights for strategic planning. Required Skills Strong analytical abilities and attention to detail Proficient in Microsoft Excel and data collection software Excellent organizational and time-management skills Ability to work independently and as part of a team Good communication skills to report findings effectively
