Job Description

LocationPune & Mumbai, India (Open to Gurgaon, Chandigarh & Bangalore)Shift2:00 PM – 11:00 PM IST

We are seeking a proactive and detail-oriented Power BI Developer responsible for developing, maintaining, and enhancing data dashboards and reporting solutions. The role requires strong hands-on expertise in Power BI and SQL, along with the ability to understand backend data structures, build data pipelines, validate data logic, and collaborate directly with stakeholders to deliver high-quality analytics solutions.

This is a client facing & hands-on role requiring ownership from data ingestion through dashboard delivery. The candidate will have to manage all client communications and provide regular updates alongwith execution of tasks.

Key Responsibilities

• Design, develop, and maintain Power BI dashboards from scratch based on business requirements.
• Understand backend data models and create/modify data pipelines as needed.
• Write and optimize SQL queries for data extraction, transformation, and validation.
• Connect, transform, and model data across multiple tables and sources.
• Perform backend vs. frontend validation to ensure data accuracy and logic consistency.
• Audit dashboards regularly to ensure data integrity and correct business rule implementation.
• Work directly with client stakeholders to gather requirements, clarify expectations, and implement feedback.
• Troubleshoot data discrepancies and proactively identify root causes.
• Ensure adherence to best practices in data modelling, visualization, and performance optimization.

Required Skills & Qualifications

• 5-7 years of experience in PowerBI & SQL.
• Strong hands-on experience with Power BI (DAX, data modelling, Power Query).
• Strong SQL skills for querying and data validation.
• Basic working knowledge of Snowflake (querying, understanding schemas, tables).
• Good understanding of ETL concepts and data pipelines.
• Experience developing dashboards end-to-end independently.
• Strong logical thinking and problem-solving skills.
• Ability to audit and validate data across systems.
• Good communication skills with ability to interact directly with clients.

Good to have

• Experience working in client-facing roles.
• Exposure to large datasets and performance optimization techniques.
• Basic understanding of data governance and data quality frameworks.