Power BI Developer
Summary
Datacolor.ai is hiring a Power BI Developer (4-6 yrs experience) to serve one of its large enterprise clients in India. Day to day: designing interactive Power BI dashboards and reports, building data models, DAX calculations and Power Query transformations, and integrating data from SQL Server, Azure, Excel and APIs.
Job Summary
Datacolor.ai is seeking an experienced Power BI Developer for one of their large enterprise client, with strong data visualization expertise to design, develop, and maintain insightful dashboards and reports. The ideal candidate will have a solid background in Power BI, data modeling, and translating business requirements into compelling visual analytics that drive decision-making.
Key Responsibilities
Design and develop interactive dashboards and reports using Power BI
Create visually compelling, user-friendly, and performance-optimized data visualizations
Work closely with business stakeholders to gather requirements and translate them into technical solutions
Develop and maintain data models, DAX calculations, and Power Query transformations
Integrate data from multiple sources (SQL Server, Azure, Excel, APIs, etc.)
Ensure data accuracy, consistency, and governance across reports
Optimize reports for performance and scalability
Apply visualization best practices and UX principles
Provide documentation, knowledge transfer, and ongoing support
Required Skills & Qualifications
4–6 years of experience as a Power BI Developer
Strong expertise in Power BI Desktop, Power BI Service, and Power BI Visuals
Advanced knowledge of DAX, Power Query (M), and data modeling
Experience with SQL and relational databases
Strong understanding of data visualization best practices
Ability to communicate insights clearly to both technical and non-technical audiences
Experience working in Agile/Scrum environments
Nice to Have
Experience with Azure data services (Azure SQL, Synapse, Data Factory)
Exposure to Power Platform (Power Automate, Power Apps)
Experience with row-level security (RLS)
Background in BI governance and performance tuning