Senior Analyst, Business Data Platform & Analytics

Position Summary

This position is an experienced and strategic Business Analyst to join the Data Platform & Analytics team. This role blends business analysis, light product management, and Scrum facilitation responsibilities to drive the successful delivery of enterprise-wide data products and platform capabilities. Incumbent works at the intersection of business needs and technical execution—translating goals into actionable requirements, helping prioritize delivery, and ensuring the scalable evolution of a modern, cloud‑native data platform and organizational objectives.

• Engage business users, data engineers, architects, and BI developers to gather, define, and refine detailed business and technical requirements across diverse initiatives.
• Translate complex business problems into scalable data solutions spanning ingestion pipelines, curated data layers, and reporting or analytical models.
• Act as a proxy Product Owner, defining product scope, writing epics and user stories, and prioritizing features and enhancements based on stakeholder impact and technical feasibility.
• Serve as a Scrum Master or Agile Lead, facilitating sprint ceremonies, tracking team velocity, and managing work in Jira or Azure Dev Ops.
• Lead discovery and requirements workshops with stakeholders across finance, operations, supply chain, commercial, and other enterprise teams.
• Create and maintain comprehensive documentation, including process flows, source‑to‑target mappings, data dictionaries, and user training materials.
• Validate development work through UAT coordination, data testing, and QA to ensure deliverables meet business intent.
• Analyze and troubleshoot data issues using SQL and reporting tools to support quality assurance and root cause analysis.
• Contribute to platform adoption and maturity by supporting change management activities and self‑service enablement initiatives.
• Collaborate with platform leadership on roadmap planning, backlog grooming, and continuous improvement efforts.
• Adhere to all company policies and procedures, Federal and State regulations, and laws.
• Display dedication to position responsibilities and achieve assigned goals and objectives.
• Represent the Company professionally in appearance.
• Internalize the Company’s purpose and demonstrate loyalty to organizational values.
• Show enthusiasm and dedication to learning and sharing knowledge with others.
• Work effectively with co‑workers, internal and external customers, and others by sharing constructive ideas, listening objectively, keeping commitments, and respecting diversity.
• Comply with the policies and procedures of the Injury and Illness Prevention Program by working safely and reporting hazards.
• Ensure conduct aligns with all Compliance Program policies when engaging on behalf of the company, reporting concerns promptly.
• Perform other duties as assigned.

• Bachelor’s Degree in a related field or four (4) years of relevant experience in lieu of a degree.

• Minimum seven (7) years (eleven (11) for non‑degreed candidates) of experience as a Business Analyst, Product Analyst, or hybrid BA/PM in a data engineering, analytics, or enterprise platform.
• Demonstrated experience as a Product Owner or closely with product managers and delivery teams to ship platform features or data capabilities.
• Strong knowledge of Databricks and modern ELT/ETL practices in a cloud‑native environment.
• Advanced proficiency with SQL for data exploration, validation, and troubleshooting.
• Hands‑on experience with Fivetran, dbt, Azure Data Factory, or other data pipeline tools.
• Deep understanding of Agile delivery frameworks and collaboration tools (Jira, Confluence, Azure Dev Ops).
• Experience working with source system data from platforms like SAP, Salesforce, or Workday, and understanding upstream business processes.

• Experience managing or contributing to delivery of internal data products, self‑service analytics environments, or data marketplaces.
• Familiarity with medallion architecture, delta tables, streaming vs. batch pipelines, and Unity Catalog.
• Understanding of data governance,…