Power BI Developer: Global Market Intelligence COE

Abbott Laboratories

Minnetonka (MN)

Hybrid

USD 78,000 - 156,000

Full time

3 days ago
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Benefits offered by this job

Health coverage
Tuition reimbursement
FreeU education benefit
Retirement savings plan
Career development

Job summary

Abbott is seeking a Power BI Developer in Minnetonka, MN, to design, build, and maintain enterprise reporting for market intelligence. You will blend strong development with data governance and executive-ready visuals to support global decision-making.

Responsibilities include building dashboards, optimizing Fabric data models, and ensuring data quality. Collaboration with analysts and regional teams is essential in a fast-paced healthcare environment.

Qualifications

  • Bachelor's degree or equivalent experience in CS/IS/Analytics.
  • 2+ years of hands-on Power BI development building production-grade reports.
  • Strong proficiency in DAX and Power Query.
  • Experience with Fabric components (semantic models, Lakehouse, Dataflows).
  • Proficiency in Python or R for data manipulation/analytics.
  • Solid data modeling and SQL skills.

Responsibilities

  • Develop and maintain interactive Power BI reports and dashboards with executive-facing deliverables.
  • Build semantic models in Microsoft Fabric and optimize data pipelines.
  • Implement security controls like RLS/OLS across regions and users.
  • Translate business needs into scalable reporting solutions and validate data quality.
  • Document models and data sources; troubleshoot issues across Power BI and Fabric.

Skills

Power BI
DAX
Power Query
Python
R
SQL
Data Modeling

Education

Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field

Tools

Microsoft Fabric
Lakehouse
Dataflows

Job description

Abbott is seeking a Power BI Developer in Minnetonka, MN, to design, build, and maintain enterprise reporting for market intelligence. You will blend strong development with data governance and executive-ready visuals to support global decision-making.

Responsibilities include building dashboards, optimizing Fabric data models, and ensuring data quality. Collaboration with analysts and regional teams is essential in a fast-paced healthcare environment.

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