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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 2026-02-28
Job specializations:
  • Software Development
    Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Power BI Developer - Microsoft Fabric & Direct Lake (Retail)

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
Requirements
  • 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)
Preferred Qualifications
  • 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
Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Other

Industries

IT Services and IT Consulting

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