Quality Analyst
EXL · Noida, Uttar Pradesh · Full-time
• 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.