Data Quality Analyst

Curant Health•Smyrna, GA

About The Position

Curant Health is seeking a highly skilled Data Quality Analyst with strong expertise in validating data accuracy, completeness, and consistency across multiple data sources. This role will take ownership of designing, developing, and implementing automated data quality testing frameworks to proactively identify issues and support continuous improvement initiatives. The ideal candidate is analytical, detail-oriented, and experienced in working with large datasets, ETL processes, and automated testing methodologies within a fast-paced, collaborative environment.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
3+ years of experience in data quality, QA, or ETL testing
Hands-on experience with SSIS (SQL Server Integration Services)
Strong SQL skills (complex queries, joins, aggregations, large dataset validation)
Understanding of ETL processes, data pipelines, and data warehousing concepts
Experience with data validation, reconciliation, and profiling techniques
Experience designing and developing test plans and automated test cases
Strong analytical and problem-solving skills
Excellent attention to detail
Ability to identify trends, anomalies, and root causes in complex datasets
Experience working with large datasets and resolving data inconsistencies
Self-motivated and able to work independently with minimal supervision
Strong collaboration skills with cross-functional teams
Excellent written and verbal communication skills

Nice To Haves

Familiarity with Agile methodologies preferred

Responsibilities

Validate data accuracy, completeness, consistency, and timeliness across multiple systems
Perform data reconciliation and identify discrepancies across upstream and downstream sources
Analyze data anomalies, determine root causes, and identify trends to drive actionable insights
Develop and maintain both automated and manual data validation processes
Design, develop, and implement automated data quality testing frameworks
Create, execute, and maintain automated test cases for ETL pipelines, databases, and reporting layers
Participate in regression testing and post-deployment production data validation
Investigate, document, and track data quality issues, including root cause analysis and resolution
Write and optimize complex SQL queries to validate large datasets and troubleshoot issues
Support continuous improvement initiatives through data quality monitoring and reporting
Collaborate with data engineers, analysts, and business stakeholders to define data quality rules and standards
Ensure adherence to data governance, compliance, and quality standards
Partner cross-functionally to support reliable, accurate, and scalable data solutions