Job Description
Overview
We are seeking a detail-oriented Quality Assurance (QA) Specialist with strong expertise in Power BI testing and Microsoft Fabric migrations . This role is critical in ensuring data integrity, reliability, and performance across reporting and analytics platforms. The ideal candidate will combine front-end user testing skills (Power BI Service navigation, report usability validation, Playwright) with back-end data validation (SQL queries, pipeline testing, and semantic model validation).
Key Responsibilities
QA Strategy & Execution
- Develop and implement QA strategies for data workflows, pipelines, and semantic models within Microsoft Fabric.
- Establish repeatable testing processes to validate data quality, consistency, and accuracy across Power BI reports and semantic models.
Testing & Validation
- Test Power BI Service functionality, including navigation, permissions, and user interactions.
- Validate report outputs and ensure consistency with underlying data sources.
- Query SQL databases to verify data accuracy, transformations, and performance.
- Compare legacy and modern data platform implementations to ensure equivalent functionality and results.
Automation & Documentation
- Design and maintain automated testing processes for data pipelines, semantic models, and integrations.
- Create and maintain comprehensive test plans, test cases, and execution documentation.
- Track, analyze, and report quality metrics while ensuring agreed service levels for data quality and availability.
Collaboration & Issue Resolution
- Collaborate with Business Analysts, Power BI Developers, Data Engineers, Data Modelers, and Governance teams to maintain high data quality standards.
- Perform root cause analysis for data and reporting issues and coordinate resolution efforts.
- Recommend improvements to QA processes, testing frameworks, methodologies, and tools.
Required Skills & Experience
- Proven experience in Power BI Service testing, including navigation, permissions, and report validation.
- Strong SQL skills for backend data validation and troubleshooting.
- Proficiency in Microsoft Excel, including Pivot Tables, Lookups, and data comparison techniques.
- Strong understanding of data quality principles, including completeness, accuracy, consistency, and integrity.
- Familiarity with Microsoft Fabric and Azure data platforms.
- Experience with automated testing frameworks for data pipelines and integrations.
- Experience defining, tracking, and reporting QA and data quality metrics.
- Excellent documentation skills for creating clear, repeatable, and maintainable test artifacts.
Preferred Qualifications
- Hands-on experience testing data migration projects involving Microsoft Fabric.