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Power BI, DAX

Power BI, DAX

Infosys
6-8 Years
Not Disclosed
Early Applicant
  • Posted 12 hours ago
  • Be among the first 10 applicants

Job Description

Technology->Cloud Platform->Power Platform->Power BI, DAX, SQL

Key Responsibilities:

  • Lead end-to-end development of Power BI dashboards and reports, from requirement gathering to deployment and support.
  • Design robust semantic models, star schemas, and optimized datasets aligned to business KPIs and reporting needs.
  • Develop and optimize complex DAX measures, calculated columns, and time-intelligence logic for accurate analytics.
  • Build and maintain efficient data transformations using Power Query and ensure high-quality, reliable datasets.
  • Partner with business and data teams to define metrics, validate outputs, and deliver actionable insights.
  • Establish best practices for report performance, usability, accessibility, and consistent visualization standards.
  • Implement row-level security (RLS), workspace management, and governance practices for secure reporting.
  • Troubleshoot performance bottlenecks and data issues; drive continuous optimization and automation where possible.
  • Mentor developers/analysts, conduct reviews, and guide delivery planning to ensure quality and timely outcomes. Minimum Qualifications:
  • BTECH, MTECH, MCA, or MSC.
  • 6–8 years of experience in BI/analytics with strong hands-on expertise in Power BI and DAX.
  • Strong proficiency in SQL for querying, joins, aggregations, and performance-aware data extraction.
  • Solid understanding of data modeling concepts (star schema, relationships, measures vs. columns).
  • Experience delivering production-grade dashboards with stakeholder-facing documentation and support. Preferred Qualifications:
  • Experience leading BI initiatives, owning delivery plans, and coordinating with cross-functional teams.
  • Strong expertise in Power BI Service features including deployments, workspace strategy, and governance.
  • Proven ability to optimize report performance (model size reduction, DAX optimization, query folding awareness).
  • Experience implementing security and access controls including RLS and dataset permissions.
  • Ability to define KPI frameworks and build executive-ready dashboards with clear storytelling and UX best practices.

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