• Analyze healthcare data and identify data quality issues, inconsistencies, and anomalies. • Perform database testing and data validation using SQL. • Write SQL queries to extract, compare, reconcile, and validate data. • Validate data accuracy, completeness, consistency, and integrity. • Perform source-to-target data validation and reconciliation. • Investigate data discrepancies and identify the root cause of data quality issues. • Work with business and technical teams to resolve data-related issues. • Review business requirements and translate them into data quality and validation requirements. • Prepare data quality reports and communicate findings to stakeholders. • Maintain documentation related to data validation, business rules, and quality processes. • Participate in Agile ceremonies, including daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives. • Work closely with Business Analysts, Data Analysts, Developers, Product Owners, and other stakeholders. • Analyze healthcare data and identify data quality issues, inconsistencies, and anomalies. • Perform database testing and data validation using SQL. • Write SQL queries to extract, compare, reconcile, and validate data. • Validate data accuracy, completeness, consistency, and integrity. • Perform source-to-target data validation and reconciliation. • Investigate data discrepancies and identify the root cause of data quality issues. • Work with business and technical teams to resolve data-related issues. • Review business requirements and translate them into data quality and validation requirements. • Prepare data quality reports and communicate findings to stakeholders. • Maintain documentation related to data validation, business rules, and quality processes. • Participate in Agile ceremonies, including daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives. • Work closely with Business Analysts, Data Analysts, Developers, Product Owners, and other stakeholders. • Experience as a Quality Analyst, Data Quality Analyst, or Data Analyst. • Strong hands-on knowledge of SQL. • Experience with database testing and data validation. • Strong understanding of relational databases and data structures.