QA Analyst - Power BI & Data Solutions

Role: QA Analyst – Power BI & Data SolutionsLocation: HyderabadExperience: 3-7+ Years (depending on seniority) Key ResponsibilitiesTest Strategy & Planning: Define and implement comprehensive QA strategies and test plans for data pipelines, ETL processes, and Power BI solutions.Data Validation: Validate data integrity, accuracy, and completeness by writing and executing complex SQL queries against large datasets in source systems and data warehouses.Report & Dashboard Testing: Perform functional, regression, and performance testing for Power BI reports and dashboards, ensuring data accuracy, correct DAX calculations, and functional parity with business requirements.ETL & Data Pipeline Testing: Test data transformations and extraction, transformation, and loading (ETL) processes to ensure data quality and compliance across all layers.Collaboration: Work closely with BI developers, data engineers, business analysts, and stakeholders to understand requirements, clarify testing scope, and track defects using tools like JIRA.Documentation: Develop, document, and maintain comprehensive test cases, test scripts, and test artifacts.Automation (Good to have): Familiarity with test automation tools (e.g., Selenium) and scripting to streamline regression testing is a plus.Compliance & Governance: Ensure all solutions comply with data governance standards and regulatory requirements. Required Skills & QualificationsTechnical Expertise:Strong proficiency in SQL is mandatory for data validation.Hands-on experience testing Power BI reports, including data visualization, Power Query, and DAX calculations.Solid understanding of data warehousing concepts, ETL processes, and relational databases.Familiarity with cloud platforms (e.g., AWS, Azure) is beneficial.Analytical Skills: Excellent analytical, problem-solving, and root cause analysis (RCA) skills.Process Knowledge: Experience working in Agile/Scrum environments.Soft Skills: Strong communication skills and the ability to work effectively in a cross-functional, global team environment.

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