Power BI Engineer

Hybrid: 3 days a week on‑site (Chicago, IL or Newport Beach, IL)

Our client is completing a major rebuild of their enterprise data warehouse and is seeking a Business Intelligence Engineer to lead the reconstruction of all Power BI work spaces, datasets, and reports. This role will also support a multi‑year roadmap of onboarding new departments into the warehouse and developing additional BI assets. You will serve as the primary business-facing member of the data team and must be able to hit the ground running.

• Rebuild Power BI work spaces, semantic models, and reports for the new data warehouse
• Design, develop, and maintain high‑quality reports, dashboards, and visualizations
• Write optimized SQL queries for complex reporting and ad‑hoc user needs
• Ensure accuracy, performance, and reliability of all BI solutions

• Serve as the primary contact for reporting questions and support requests
• Manage a significant queue of report rebuilds and enhancements
• Conduct user training and promote self‑service analytics adoption
• Translate business requirements into technical specifications
• Collaborate with Data Engineers on data models and ETL improvements
• Support performance tuning and troubleshooting across the data environment
• Contribute to documentation of BI processes, tools, and workflows

• Monitor report availability and performance
• Troubleshoot BI issues with minimal downtime
• Identify automation opportunities

• Mentor junior team members and share BI best practices
• Lead complex analytics projects from initiation through delivery
• Advocate for modern BI technologies and improved data usage

• Bachelor’s degree in Information Systems, Analytics, or equivalent experience
• 5+ years in Business Intelligence, Data Engineering, or related field
• Expert-level Power BI experience (required)
• Strong SQL skills;
  Python experience preferred
• Deep understanding of data modeling and ETL concepts
• Experience with Git or other version control tools
• Excellent communication skills with non‑technical audiences
• Bonus: Experience with semantic modeling, ETL pipelines, Machine Learning, or AI

• Power BI premium experience
• Machine learning/AI exposure