Senior Business Intelligence Analyst (Microsoft Fabric & Power BI)

ECOM USA • Dallas, TX

1d

About The Position

At ECOM, we're building a modern analytics environment powered by Microsoft Fabric, OneLake, and Direct Lake architecture. We're looking for a Senior Business Intelligence Analyst to own the semantic models that drive reporting and decision-making across the business. This is not a dashboard-building role. We're looking for someone who understands Power BI architecture at a deep level and enjoys solving complex performance, scalability, and governance challenges. When a Direct Lake model slows down, a refresh fails, or a semantic model needs redesigning, you'll be the technical expert leading the solution.

Requirements

• Deep hands-on experience with Power BI semantic model development.
• Strong Microsoft Fabric and Direct Lake expertise.
• Advanced DAX and Power Query skills.
• Experience with query folding, incremental refresh, and row-level security.
• Strong SQL and dimensional modeling capabilities.
• Experience working with OneLake, Fabric Lakehouses, and Delta Lake architecture.
• Bachelor's degree in a related field or equivalent practical experience.

Nice To Haves

• DP-600 (Fabric Analytics Engineer) certification.
• Experience with Tabular Editor, DAX Studio, deployment pipelines, or source control.
• Exposure to Spark, PySpark, or Fabric data engineering solutions.

Responsibilities

• Design, optimize, and govern Direct Lake semantic models in Microsoft Fabric.
• Troubleshoot performance, refresh, and connectivity issues across Direct Lake, Import, and gateway-connected sources.
• Develop advanced DAX measures and optimize model performance.
• Establish standards for dimensional modeling, security, and semantic model governance.
• Implement row-level security and incremental refresh strategies.
• Partner with Data Engineering to improve Delta table design, partitioning, and lakehouse performance.
• Translate business requirements into scalable, maintainable analytics solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior