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ECOM Agroindustrial Corp. Ltd.

Senior Business Intelligence Analyst

ECOM Agroindustrial Corp. Ltd.

. Design, optimize, and govern Direct Lake semantic models in Microsoft Fabric .

Posted 10/15/2026full-timeDallas • Texas • United StatesSeniorWebsite

Tech Stack

Tools & technologies
PySparkSparkSQL

About the role

Key responsibilities & impact
  • 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
  • Improve performance and reliability across enterprise reporting solutions
  • Establish modeling standards that scale with the business
  • Influence architecture decisions across Power BI and Microsoft Fabric
  • Serve as the team's subject matter expert for semantic modeling and Direct Lake performance

Requirements

What you’ll need
  • 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
  • Must reside in DFW
  • Visa sponsorship is not available for this role
  • Preferred: DP-600 (Fabric Analytics Engineer) certification
  • Preferred: Experience with Tabular Editor, DAX Studio, deployment pipelines, or source control
  • Preferred: Exposure to Spark, PySpark, or Fabric data engineering solutions