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Business Intelligence Analyst

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Hornet Staffing, Inc, a GEE Group company
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 48 - 51 USD Hourly USD 48.00 51.00 HOUR
Job Description & How to Apply Below

Hornet Staffing, Inc. – Pay Range

Base pay: $48.00/hr – $51.00/hr

Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Business Intelligence Analyst Senior – Onsite

Key Responsibilities
  • Design and implement robust data models using star schema and snowflake techniques for optimal performance.
  • Ensure proper relationships, hierarchies, and calculated measures in Power BI datasets.
  • Optimize data models for scalability and maintainability.
  • Build interactive dashboards and reports aligned with business requirements.
  • Implement row‑level security (RLS) and manage workspace governance.
  • Utilize DAX and Power Query (M) for advanced calculations and transformations.
  • Understand and manage Power BI architecture, including service layers, gateways, and premium capacities.
  • Integrate Power BI with Azure Data Factory, SQL Server, and other enterprise data sources.
  • Ensure compliance with organizational data governance and security standards.
  • Monitor and optimize report performance, dataset refresh strategies, and query folding.
  • Implement best practices for incremental refresh and large dataset handling.
  • Work closely with data engineers, analysts, and business stakeholders to deliver high‑quality BI solutions.
  • Provide guidance on Power BI adoption, workspace design, and governance frameworks.
Required

Skills & Qualifications
  • Advanced proficiency in Power BI Desktop and Service.
  • Strong knowledge of DAX, Power Query, and data modeling principles.
  • Experience with Power BI architecture, including gateways, capacity planning, and deployment pipelines.
  • Familiarity with ETL processes, data warehousing, and SQL.
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