Data Warehouse & ETL Testing QA Analyst – (Life Sciences / Pharma domian - Must have)

Job Title: Data Warehouse & ETL QA Analyst – (Life Sciences / Pharma domian - Must have)Location: RemoteExperience - 3 + Years
Job Summary:We are seeking an experienced QA Analyst with expertise in Data Warehouse, ETL, and BI Testing within the Life Sciences / Pharmaceutical domain. The candidate will be responsible for validating data pipelines, ETL processes, database integrity, and reporting solutions to ensure data accuracy, completeness, and regulatory compliance.Key Responsibilities:Perform ETL/ELT, Data Warehouse, database, integration, and regression testing.Execute SQL queries for data validation and source-to-target reconciliation.Validate data transformations, business rules, calculations, and aggregations.Test dashboards and reports using Power BI, Tableau, or similar tools.Validate data pipelines, batch processing, incremental loads, and historical data.Support GxP, CSV, and other applicable Life Sciences compliance requirements.Manage defects, prepare test documentation, and collaborate with development and business teams.Required Skills:3+ years of QA experience in Data Warehouse, ETL, or BI Testing.2+ years of experience in Pharma, Life Sciences, Biotechnology, Medical Devices, or Healthcare.Strong SQL and database testing experience.Hands-on ETL testing and data validation experience.Understanding of Data Warehouse concepts (Fact Tables, Dimension Tables, Star Schema).Exposure to Power BI, Tableau, Informatica, SSIS, Snowflake, or similar technologies.Knowledge of GxP / CSV compliance is preferred.Preferred: Experience with Veeva, IQVIA, Salesforce, MDM, and cloud data platforms.