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Power BI Developer - Microsoft Fabric & Direct Lake

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Accellor
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Position Overview

We are seeking an experienced Power BI Developer with a strong background in the retail industry and hands-on experience with Microsoft Fabric, Direct Lake, and modern data architecture. This role will be responsible for developing scalable, high-performance BI solutions that empower data-driven decision-making across merchandising, supply chain, and store operations.

Key Responsibilities
  • Design, build, and maintain Power BI dashboards, paginated reports, and semantic models tailored to retail KPIs.
  • Develop optimized DAX calculations, data models, and visuals to provide actionable insights for business users.
  • Implement performance tuning and best practices for enterprise BI environments.
  • Build and optimize Direct Lake datasets for high-volume retail datasets (sales, inventory, POS, promotions).
  • Leverage Fabric features such as One Lake and Lakehouse modeling to modernize reporting architecture.
  • Create reusable datasets and self-service BI capabilities for cross-functional teams.
Qualifications
  • 3–5 years of hands-on Power BI development experience.
  • Proficiency in DAX, Power Query (M), and data modeling for large-scale analytical solutions.
  • Strong SQL experience and familiarity with data warehousing concepts (Star/Snowflake schema).
  • Experience with Microsoft Fabric (Lakehouse, Direct Lake).
  • Experience in the retail industry.
  • Background in performance optimization for large Direct Lake datasets.
  • Understanding of data governance, metadata management, and CI/CD for Power BI/Fabric.
  • Ability to manage multiple priorities in a fast-paced retail environment.
  • Detail-oriented, proactive, and collaborative.
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