Quality Analyst
EXL · Noida, Uttar Pradesh, India ·
- Work mode
- Hybrid
Validate healthcare data by writing SQL queries, reconciling sources, and reporting quality issues in an Agile team.
- 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.