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 ExperiencePreferred 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.