Power BI Governance Specialist

3 days ago

Kollam, Kerala, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000

Job Opportunity:

Your responsibilities include analyzing the current Power BI environment, identifying inactive or redundant workspaces, and defining governance structures for workspace creation and ownership. You will also customize reports and metrics, collaborate with data engineers to integrate telemetry data into Microsoft Fabric, and create reusable templates for long-term workspace monitoring and governance.

Key Responsibilities:

  • Analyze usage patterns and structure of the Power BI tenant environment.
  • Identify and document inactive or redundant workspaces.
  • Define and implement governance structures for workspace creation, ownership, access, and lifecycle.
  • Customize reports and metrics for monitoring, alerting, and usage insights.
  • Collaborate with data engineers to integrate telemetry data into Microsoft Fabric.
  • Create reusable templates or processes for long-term workspace monitoring and governance.
  • Support communication and training for workspace owners and stakeholders.
  • Provide technical documentation and handover plans at the end of the engagement.

Required Skills & Experience:

  • Degree in computer science, economics, or comparable training or professional experience, with certifications in Power Bi and Fabric.
  • 5+ years of hands-on experience with Power BI, including tenant-level administration and monitoring.
  • Strong expertise in Power BI governance and lifecycle management.

Additional Requirements:

  • Proven experience working with Microsoft Fabric, particularly lakehouses, warehouses, pipelines, semantic models, and customizing the Fabric Usage and Monitoring (FUAM) toolkit.
  • Very good experience in conception and development of innovative BI solutions.
  • Advanced SQL and DAX skills.
  • Experience in scripting and automation is a plus.
  • Excellent communication and documentation skills.
  • Ability to work independently and deliver results under tight timelines.

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