Data QA Validation Analyst

Key Responsibilities • Perform end-to-end functional and data testing across retail business processes without dependency on detailed documentation. • Write and execute complex SQL queries for data validation, reconciliation, and root-cause analysis across SQL Server, Oracle, and Postgres databases. • Validate data pipelines, transformations, and reports in collaboration with development and QA teams. • Analyze test results, identify discrepancies, and communicate findings effectively to technical and business stakeholders. • Ensure smooth coordination with the team during EST working hours 9AM to 5PM EST. • Maintain clear test evidence and documentation aligned with QA and audit standards. • Participate in release cycles, data migrations, and regression testing for critical data components. Mandatory Skills • Retail domain experience • Proficiency in SQL Server, with the ability to adapt queries to Oracle and Postgres platforms. • Experience in data validation testing and troubleshooting data issues independently. • Excellent communication and collaboration skills to work across distributed teams. Good-to-Have Skills • Knowledge of automation testing frameworks or scripting (e.g., Python, Selenium, or similar). • Exposure to Azure Data Factory (ADF) and Databricks for understanding data flow and transformation logic. • Familiarity with data warehousing, ETL processes, and data quality frameworks.