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 efficient, 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.

2. 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 contemporary 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: E

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