Hornet Staffing, Inc, a GEE Group company
Business Intelligence Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Analyst with a contract length of "unknown," offering a pay rate of "unknown." It requires advanced Power BI skills, DAX, SQL, and experience in data modeling and integration, particularly with Azure Data Factory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
408
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🗓️ - Date
January 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#Datasets #Data Management #Snowflake #Deployment #Scala #Data Modeling #Security #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Governance #ADF (Azure Data Factory) #Azure Data Factory #Leadership #BI (Business Intelligence) #SQL Server #Compliance #Data Engineering #Microsoft Power BI #Azure #DAX
Role description
Business Intelligence Analyst Senior-
Onsite
Key Responsibilities:
• Data Modeling & Architecture -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. Power BI Development -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. Architecture & Integration -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. Performance Optimization -Monitor and optimize report performance, dataset refresh strategies, and query folding. -Implement best practices for incremental refresh and large dataset handling. Collaboration & Leadership -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
• Technical Expertise -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. Data Management -Familiarity with ETL processes, data warehousing, and SQL.
Business Intelligence Analyst Senior-
Onsite
Key Responsibilities:
• Data Modeling & Architecture -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. Power BI Development -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. Architecture & Integration -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. Performance Optimization -Monitor and optimize report performance, dataset refresh strategies, and query folding. -Implement best practices for incremental refresh and large dataset handling. Collaboration & Leadership -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
• Technical Expertise -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. Data Management -Familiarity with ETL processes, data warehousing, and SQL.
