1. Power BI Development and Data Modeling

Requirement Gathering: Translate logical business requirements into clear technical specifications and analytical workflows. Data Connectivity: Connect directly to backend enterprise systems (SQL databases, cloud warehouses, and

APIs), moving beyond flat Excel files.

Data Modeling: Design productive, optimized data schemas (Star/Snowflake) and establish clean table relationships.

DAX & Power Query: Author high-performing DAX queries, calculations, and measures. Perform complex data transformation and cleansing in Power Query.

Dashboard Design: Build intuitive, user-friendly, and visually clean dashboards that emphasize clear data storytelling.

1. Power BI Platform Administration

Workspace & Deployment: Set up and manage workspaces, app publishing pipelines, and deployment environments. Access Control & Security: Configure Row-Level Security (RLS) and manage workspace user permissions and sharing.

Gateway & Refresh Management: Configure, maintain, and troubleshoot on-premises/cloud data gateways and automated refresh schedules.

Performance Optimization: Proactively monitor report performance, identify bottlenecks,



and resolve dataset refresh errors.

Requirements

Professional Experience: 1 to 2 years of actual, hands-on experience building and administering Power BI environments.

Strong SQL Skills: Proficient in writing and optimizing SQL queries (joins, aggregations, subqueries) to extract and manipulate data directly.

Cloud Databases: Experience connecting to and querying modern cloud platforms (such as Snowflake,

Databricks, Azure SQL, BigQuery, or Redshift).

Power BI Fundamentals: Solid core knowledge of Power BI Desktop, Power BI Service, data gateways, and complex DAX measures.

Analytical Reasoning: Strong logical thinking and problem-solving skills to ask clarifying questions and unpack requirements.

Preferred Skills and Qualifications

Microsoft Fabric & GCP: Exposure to Microsoft Fabric (OneLake, Lakehouses) and experience querying data within Google Cloud Platform (BigQuery).

Certifications & Tools: Microsoft PL-300 certification or basic familiarity with Power Platform tools (Power

Apps, Power Automate).

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