Power BI Developer

Developer

Power BI Developer

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  • Date posted
    July 21, 2026
  • Expiration date
    October 21, 2026
  • Application ends
    October 21, 2026

We are seeking a data-driven Power BI Developer (2–3 Years Experience) to join our growing Business Intelligence team. In this role, you will bridge the gap between raw data and executive decision-making. You will be responsible for building, optimizing, and maintaining dashboards that provide clear, actionable insights across our business units.

Key Responsibilities

  • Dashboard Creation: Design, develop, and deploy interactive Power BI dashboards, reports, and KPI scorecards.
  • Data Transformation: Connect to data sources (SQL databases, cloud storage, Excel) and clean data using Power Query.
  • Data Modeling: Build efficient data models using star schemas and establish proper table relationships.
  • Formulas & Measures: Write and optimize DAX queries for complex calculations, time-intelligence, and business metrics.
  • Platform Administration: Publish reports to Power BI Service, configure workspaces, and set up scheduled data refreshes.
  • Security & Access: Implement Row-Level Security (RLS) to protect sensitive organizational data.
  • User Support: Provide basic troubleshooting, maintenance, and training for business users interacting with the reports.

Technical Requirements

  • Experience: 2–3 years of hands-on experience exclusively developing in Power BI Desktop and Service.
  • Database Skills: Strong proficiency in SQL for querying, filtering, and joining data from relational databases.
  • DAX & Power Query: Proven ability to write custom DAX measures and use M language for ETL tasks.
  • Data Literacy: Solid understanding of data warehousing concepts, dimensions, and facts.
  • Certifications (Preferred): Microsoft PL-300 (Power BI Data Analyst) certification is a strong plus.

Soft Skills

  • Analytical Mindset: Strong problem-solving skills with high attention to detail and data accuracy.
  • Communication: Ability to translate technical data findings into clear stories for non-technical stakeholders.
  • Collaboration: Comfortable working closely with both data engineers and business end-users.
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