Experience: 0-3 years (Fresh Graduates are welcome)
Department: Data & Analytics / Business Intelligence
Location: Noida (Hybrid)
Employment Type: Full-time
About the Role
We are looking for a Power BI Developer who enjoys turning raw data into clear, actionable insights. You will work with business stakeholders and data engineering teams to build dashboards and reports that support decision making across the organization. This role suits someone early in their analytics career who is curious, learns quickly, and wants to grow with modern cloud data platforms.
Key Responsibilities
Design, develop, and maintain interactive Power BI dashboards and reports
Gather and translate business requirements into effective visualizations and KPIs
Write DAX measures and calculated columns for business logic
Write and optimize SQL queries to extract and transform data from multiple sources
Use Power Query for data cleaning, shaping, and transformation
Ensure data accuracy through validation, testing, and reconciliation
Publish reports to Power BI Service, manage workspaces, schedule refreshes
Troubleshoot data issues and performance bottlenecks in reports
Document report logic, data sources, and definitions
Collaborate with data engineers, analysts, and business users to iterate on feedback
Required Skills & Qualifications
Bachelor's degree in computer science, IT, Engineering, Statistics, or a related field
Experience with Power BI. Freshers are also welcome to apply.
Solid knowledge of SQL: joins, subqueries, CTEs, window functions, and aggregations
Understanding of data modeling concepts such as fact and dimension tables and star schema
Strong problem-solving and analytical skills, with the ability to break down ambiguous business questions
Strong learnability: willingness to pick up new tools and domains quickly
Good communication skills to explain insights to technical and non-technical audiences
Good to Have
Exposure to Databricks (notebooks, Delta tables, SQL warehouses) and connecting Power BI to Databricks
Familiarity with AWS services such as S3, Redshift, Athena, or Glue
Knowledge of DAX and Power Query (M)
Basic knowledge of Python for data analysis
Understanding of ETL/ELT concepts and data warehousing
Experience with Git or version control
How to apply
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