Data Product Analyst

Koch Engineered Solutions is seeking a Data Product Analyst to support its ET&S data delivery team. The role translates data governance standards into actionable requirements and insights while supporting data-quality scorecards, KPI reporting, stakeholder coordination, and data product prioritization and adoption.

What you'll do:

• Translate enterprise data governance standards and policies into clear, analyst-ready requirements
• Support governance metrics and the insight needs of data owners, helping them monitor and steward their data domains
• Pair with data engineers (DE) and data analysts (DA) to build and refine KPI reporting on the team's data products
• Maintain visibility into data product priorities, progress, and dependencies, ensuring stakeholders have clear insight into status, risks, and upcoming work
• Partner with stakeholders to evaluate, document, and prioritize new governance, reporting, and data quality opportunities
• Document data definitions, quality rules, and reporting logic so governance artifacts stay accurate and reusable
• Facilitate routine reviews of scorecards and KPIs, flagging trends, gaps, and data-quality issues for follow-up
• Partner with stakeholders to communicate changes to data definitions, quality rules, and governance standards, helping ensure successful implementation
• Monitor data product usage and adoption metrics, identifying opportunities to improve value delivery and support retirement decisions when products no longer meet business needs

What they're looking for:

• Experience working with data in tools such as Excel or Power BI and foundational SQL skills
• Experience translating technical details into plain-language requirements and status updates
• Experience collaborating effectively across both technical and non-technical business teams
• Understanding principles, concepts, and terminology used in a data organization
• This position is based in our Tulsa, OK or Wichita, KS offices
• This position is not eligible for Visa Sponsorship
• Bachelor's degree in a related field (data analytics, information systems, business, or statistics)
• Exposure to data governance concepts such as data ownership, stewardship, quality dimensions, and metadata
• Familiarity with business analytics tools for building scorecards and KPI reports
• Experience with backlog or work-tracking tools (for example, Azure DevOps or Jira) and agile ways of working
• Exposure to prompt engineering and refinement
• Familiar with ETO/manufacturing organizations

Benefits:

• Medical insurance
• Dental insurance
• Vision insurance
• Flexible spending accounts
• Health savings accounts
• Life insurance
• ADD insurance
• Disability benefits
• Retirement benefits
• Paid vacation/time off