Quality Analyst

EXL Talent Acquisition Team; Dadri; On-site; INR 600,000 - 900,000; Full time

Job summary

EXL Talent Acquisition Team seeks a data quality specialist to analyze healthcare data, identify quality issues, and perform SQL-based validation. You will write queries, reconcile data, and validate accuracy, completeness, and integrity across source-to-target datasets.

You'll collaborate with Business Analysts, Developers, Product Owners, and stakeholders, prepare data quality reports, translate business rules into validation requirements, and participate in Agile ceremonies such as daily

Qualifications

• Proficient in SQL for data extraction, validation, and reconciliation.
• Understanding of data quality concepts, integrity, and completeness.
• Able to translate business requirements into data validation rules.

Responsibilities

• 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 root causes.
• 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 Agile ceremonies, including daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives.

Skills

SQL

Job description

• 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 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.