• Essential Functions and DutiesEngage 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 (planning, stand-ups, retrospectives), tracking team velocity, and managing work in Jira or Azure DevOps.
• 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, ensuring the final 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.
• Adheres specifically to all company policies and procedures, Federal and State regulations, and laws.

Education, Knowledge, Skills, and Experience

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

• Required Experience:
• Minimum seven (7) years of experience as a Business Analyst, Product Analyst, or hybrid BA/PM in a data engineering, analytics, or enterprise platform environment [eleven (11) years for non-degreed candidates].
• Demonstrated experience acting as a Product Owner or working 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 (e.g., Jira, Confluence, Azure DevOps).
• Experience working with source system data from platforms like SAP, Salesforce, or Workday, including understanding upstream business processes.