Senior BI Analytics (Fabric / Power BI)

Our Customer:

A global enterprise focused on building advanced data and analytics capabilities and scaling a modern cloud-based BI platform based on Microsoft Fabric and Power BI.

Your tasks:

• Act as a technical expert for Power BI and Microsoft Fabric in an enterprise analytics environment.
• Troubleshoot complex issues related to performance, data refresh, semantic models, capacity, and cross-platform integrations (Azure, Databricks, SAP, etc.).
• Design and implement AI-driven accelerators using Microsoft Copilot, prompt engineering, and automation frameworks to reduce development effort and standardize BI delivery through reusable assets.
• Develop and validate Proofs of Concept for new Microsoft Fabric capabilities.
• Optimize semantic models, DAX calculations, Direct Lake performance, and overall reporting efficiency.
• Build and maintain reusable assets such as templates, scripts, and automation toolkits.
• Contribute to CI/CD pipelines, governance practices, and monitoring solutions for BI platforms.
• Translate architectural requirements into scalable technical solutions.

Required experience and skills:

• 8+ years of hands-on experience with Power BI development in enterprise environments.
• Strong expertise in Microsoft Fabric.
• Proven experience applying AI in BI or analytics engineering workflows, including Microsoft Copilot, prompt engineering, and automation frameworks.
• Advanced knowledge of DAX and semantic modeling.
• Strong understanding of Direct Lake, incremental refresh, aggregations, and performance optimization.
• Experience with deployment pipelines, workspace governance, and capacity management.
• Experience integrating with Azure, Databricks, SAP, and other enterprise data platforms.
• Experience delivering technical Proofs of Concept (POCs).
• Strong communication skills and ability to work with stakeholders.
• Upper-intermediate or higher English.

Would be a plus:

• Experience building reusable frameworks or internal BI tooling.
• Background in data engineering or data platform development.
• Experience with CI/CD automation.
• Experience working in large enterprise environments.
• Experience optimizing cloud cost and resource utilization.

Working conditions

5-day working week, 8-hour working day;

Remote work.