Quality Analyst

Noida, Uttar Pradesh, India Posted 8/14/2026 Leaves the board in 2 days
ATS Keyword Match See which key terms from this posting your resume already has. Free.
  • 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.