Power Bi Developer

Power BI Developer (2 to 4 Years) | Hyderabad

Interview Details

• Mode of Interview: Face-to-Face Interview
• Work Location: Hyderabad
• Experience: 2 to 4 Years

Slot Booking

Interested candidates can share their profiles and book interview slots via WhatsApp:

9820258679 (Akshay Kathara)

Immediate joiners or candidates with short notice period will be preferred.

Job Summary

We are seeking a talented and detail-oriented Power BI Developer with 2-4 years of experience in Business Intelligence and Analytics. The ideal candidate should possess strong expertise in Power BI, DAX, SQL, Data Modeling, Data Visualization, ETL Processes, and Advanced Excel to develop insightful dashboards and reports that support business decision-making.

Key Responsibilities

• Design, develop, and maintain interactive Power BI dashboards and reports.
• Create complex DAX measures, calculated columns, KPIs, and performance metrics.
• Develop and optimize SQL queries, stored procedures, and views.
• Build robust data models using Star Schema and Snowflake Schema methodologies.
• Perform ETL activities to extract, transform, and load data from multiple sources.
• Develop data visualizations that effectively communicate business insights.
• Work closely with stakeholders to understand reporting and analytics requirements.
• Ensure data accuracy, consistency, and report performance optimization.
• Troubleshoot report and data issues and provide timely resolutions.
• Automate reporting processes and improve dashboard usability.
• Create technical documentation and provide user support/training.

Required Skills

• Power BI Desktop & Power BI Service
• DAX (Data Analysis Expressions)
• SQL Server / T-SQL
• Data Modeling
• Data Visualization & Dashboard Development
• ETL Processes
• Power Query (M Language)
• Microsoft Excel (Advanced)
• Data Warehousing Concepts
• Report Performance Optimization

Preferred Skills

• Experience with Azure Data Services
• Knowledge of SSIS, SSRS, and SSAS
• Exposure to Python or R for Analytics
• Understanding of Data Governance and Data Quality