Senior Business Intelligence Analyst (Microsoft Fabric & Power BI)

About the role

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.

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.

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.

Qualifications

• Preferred: 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.

Skills

• Power BI semantic model development.
• Microsoft Fabric and Direct Lake expertise.
• Advanced DAX and Power Query skills.
• Query folding, incremental refresh, and row-level security.
• SQL and dimensional modeling.
• OneLake, Fabric Lakehouses, and Delta Lake architecture.

Benefits

• Flexible schedule.
• Competitive compensation package.
• Professional development opportunities.
• Work-life balance.

Pay

Competitive salary based on experience and qualifications.

Schedule

Full-time position available.