Quality Analyst / Data Quality Analyst

EXL; Dadri; Hybrid; INR 600,000 - 1,000,000; Full time

Job summary

EXL is seeking a Quality Analyst / Data Quality Analyst to ensure data integrity across healthcare datasets. The role emphasizes SQL-based data validation, database testing, and reconciliation across multiple databases and systems.

Collaborate with analysts, developers, and product owners in an Agile setting to translate requirements into robust validation scenarios, and to communicate validation results and data quality improvements to stakeholders.

Qualifications

• Strong hands-on experience with SQL for data extraction, comparison, validation, and reconciliation.
• Experience in database testing / data testing / ETL testing / data validation.
• Strong understanding of data quality concepts and data reconciliation.
• Experience identifying and analyzing data discrepancies and anomalies.
• Good understanding of source-to-target validation and data mapping.
• Ability to understand business requirements and convert them into test and validation scenarios.
• Experience working in Agile/Scrum environments.
• Strong analytical, problem-solving, and communication skills.
• Experience working with cross-functional business and technical teams.
• Experience with ETL/data warehouse environments is preferred.
• Familiarity with defect management and Agile tools such as Jira is desirable.

Responsibilities

• Analyze healthcare data to identify data quality issues, inconsistencies, anomalies, and discrepancies.
• Perform database testing and data validation using SQL.
• Develop and execute SQL queries to extract, compare, reconcile, and validate data across databases and systems.
• Validate data for accuracy, completeness, consistency, integrity, and conformity with defined business rules.
• Perform source-to-target data validation and reconciliation.
• Validate data transformation and mapping logic between source and target systems.
• Investigate data discrepancies and perform root cause analysis to determine underlying causes.
• Identify data defects and work with technical teams to track, troubleshoot, and resolve issues.
• Review business requirements, functional specifications, data mappings, and business rules and translate them into data quality and validation requirements.
• Design and execute data validation and testing scenarios based on business requirements.
• Prepare data quality reports, validation results, defect reports, and reconciliation reports and communicate findings to stakeholders.
• Maintain documentation related to data validation procedures, business rules, test scenarios, data quality processes, and defect resolution.
• Collaborate with Business Analysts, Data Analysts, Developers, Product Owners, and other stakeholders to understand requirements and resolve data-related issues.
• Participate in Agile ceremonies, including daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives.
• Contribute to continuous improvement of data quality, validation, and testing processes.

Skills

SQL

Database Testing

Data Validation

Data Reconciliation

Agile/Scrum

Communication

Tools

Jira

Job description

Job description

Quality Analyst / Data Quality Analyst

Job Summary

We are looking for a Quality Analyst / Data Quality Analyst with strong experience in SQL, database testing, data validation, data reconciliation, and data.

Key Responsibilities

• Analyze healthcare data to identify data quality issues, inconsistencies, anomalies, and discrepancies.
• Perform database testing and data validation using SQL.
• Develop and execute SQL queries to extract, compare, reconcile, and validate data across databases and systems.
• Validate data for accuracy, completeness, consistency, integrity, and conformity with defined business rules.
• Perform source-to-target data validation and reconciliation.
• Validate data transformation and mapping logic between source and target systems.
• Investigate data discrepancies and perform root cause analysis to determine the underlying cause of data quality issues.
• Identify data defects and work with technical teams to track, troubleshoot, and resolve issues.
• Review business requirements, functional specifications, data mappings, and business rules and translate them into data quality and validation requirements.
• Design and execute data validation and testing scenarios based on business requirements.
• Prepare data quality reports, validation results, defect reports, and reconciliation reports and communicate findings to stakeholders.
• Maintain documentation related to data validation procedures, business rules, test scenarios, data quality processes, and defect resolution.
• Collaborate with Business Analysts, Data Analysts, Developers, Product Owners, and other stakeholders to understand requirements and resolve data-related issues.
• Participate in Agile ceremonies, including daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives.
• Contribute to continuous improvement of data quality, validation, and testing processes.

Required

• Strong hands-on experience with SQL for data extraction, comparison, validation, and reconciliation.
• Experience in database testing / data testing / ETL testing / data validation.
• Strong understanding of data quality concepts and data reconciliation.
• Experience identifying and analyzing data discrepancies and anomalies.
• Good understanding of source-to-target validation and data mapping.
• Ability to understand business requirements and convert them into test and validation scenarios.
• Experience working in Agile/Scrum environments.
• Strong analytical, problem-solving, and communication skills.
• Experience working with cross-functional business and technical teams.
• Experience with ETL/data warehouse environments is preferred.
• Familiarity with defect management and Agile tools such as Jira is desirable.

Key Competencies

• Data Quality & Validation
• SQL & Database Testing
• Data Reconciliation
• Source-to-Target Validation
• Root Cause AnalysisHealthcare Data
• ETL/Data Warehouse Testing
• Requirements Analysis
• Defect Management
• Agile/Scrum
• Stakeholder Management
• Analytical & Problem-Solving Skills

Experience

Typically 3- 7 years of relevant experience in Data Quality, Data Testing, Database Testing, ETL Testing, or Quality Assurance,

Role

Quality Assurance and Testing -

Other Industry Type: Analytics / KPO / Research

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent Role Category Assurance

Any Graduate.