Sr. Data Engineering Analyst - Columbus, OH

Abbott-posted 2 months ago
$75,300 - $150,700/Yr
Full-time • Mid Level
5,001-10,000 employees
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The Sr. Data Engineering Analyst position works out of our Columbus, OH location in the Nutrition Division. The Sr. Data Engineering Analyst leads the design and management of analytics tools that support data-driven decision-making across Commercial Operations. This role transforms raw data into actionable insights, enhances reporting processes, and ensures data accuracy and accessibility. It also serves as a key liaison with IT and external partners to maintain seamless data flow. The focus is on delivering timely, reliable, and strategic information that aligns with business goals.

  • Create and maintain advanced structured query language (SQL), Excel macros, and ETL workflows (e.g., Azure Data Factory) to support efficient data extraction and transformation.
  • Build and manage Power BI data models and dashboards for operational and customer-facing reporting.
  • Ensure timely, accurate data refreshes and reporting through tools like Cognos and Power BI.
  • Deliver actionable insights through ad hoc analysis, exception reporting, and performance scorecards.
  • Streamline reporting processes to reduce manual effort and enable proactive, data-driven decision-making.
  • Integrate data from multiple sources to create unified, business-centric dashboards.
  • Collaborate with cross-functional teams (Sales, Finance, IT, Supply Chain) to align analytics with business needs.
  • Translate complex data into clear, impactful presentations for diverse audiences.
  • Support strategic initiatives by developing metrics, dashboards, and tracking tools.
  • Validate data accuracy and completeness across all deliverables.
  • Develop exception reporting to proactively identify and resolve system or process issues.
  • Promote best practices in data governance and coach others on BI tool usage.
  • Ensure integrity of indirect sales data used across key business functions.
  • Drive long-term solutions for contract strategy and distributor performance.
  • Lead data coaching and support strategic decision-making across Commercial Operations.
  • Bachelor’s degree in Business Analytics, Information Systems, Data Science, Computer Science, or related field.
  • 4+ years in Business Intelligence; 3+ years in data analysis and performance management.
  • Advanced SQL and expert-level Excel (macros, large datasets).
  • Proficient in Power BI, Cognos, and ETL tools (e.g., Azure Data Factory).
  • Strong understanding of data warehousing, KPIs, and contract/claims processes.
  • Skilled in translating complex data into clear, actionable insights for diverse audiences.
  • Proven ability to manage multiple priorities in a fast-paced environment.
  • Effective communicator with both technical and non-technical stakeholders.
  • Experienced in cross-functional collaboration (Finance, Sales, IT, Supply Chain).
  • Coaches others on BI tools and data best practices.
  • Free medical coverage for employees via the Health Investment Plan (HIP) PPO.
  • An excellent retirement savings plan with high employer contribution.
  • Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit.
  • Career development with an international company.
  • A company recognized as a great place to work in dozens of countries.
  • A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity.
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