Jobs → Data & Analytics → AI, Data & Analytics Quality Engineer

About the Role We are looking for an experienced AI, Data & Analytics Quality Engineer to ensure the quality, accuracy, and reliability of AI-enabled applications, Microsoft Fabric data products, Power BI dashboards, and enterprise reporting solutions. Key Responsibilities • Test and validate AI-enabled applications, Microsoft Copilot, and AI-generated outputs. • Validate Microsoft Fabric, Power BI, and enterprise reporting solutions. • Perform data quality checks, SQL validation, data reconciliation, and source-to-target testing. • Design and maintain automated test frameworks for AI, data, and analytics solutions. • Execute functional, integration, regression, and UAT testing. • Test APIs, system integrations, business rules, KPIs, and report calculations. • Evaluate AI-powered testing tools to improve automation and testing efficiency. • Collaborate with Data Engineers, Developers, Product Owners, and business stakeholders. Requirements • 5+ years of experience in QA, Quality Engineering, or Software Testing. • 3+ years of experience testing data, analytics, BI, or reporting solutions. • Experience testing AI-enabled applications, Copilot, or AI-generated outputs. • Experience with Microsoft Fabric, Power BI, or similar analytics platforms. • Strong SQL, data validation, and analytical testing skills. • Hands-on experience with test automation frameworks. • API and system integration testing experience. • Experience working in Agile environments.