Senior Data Integrity / QA Analyst (Healthcare)

The Senior Data Integrity/Quality Assurance Analyst is responsible for ensuring the accuracy, consistency, completeness and trustworthiness of healthcare data across clinical, operational and analytical platforms. This role plays a critical function in validating that clinical data accurately represents care delivered within the context of an encounter, enabling safe analytics, reporting, regulatory compliance and downstream reuse. This individual will partner closely with clinical, analytics, data engineering and governance teams to define data quality standards, identify defects and implement continuous data quality monitoring across the enterprise.

Key Responsibilities:

• Define and enforce data quality rules, controls, and validation checks for clinical and operational data
• Validate encounter‑centric clinical data across domains (diagnoses, procedures, labs, vitals, medications)
• Perform root‑cause analysis on data quality issues across source systems and downstream platforms
• Develop and maintain data quality metrics, dashboards and exception reports
• Partner with data engineering teams to validate ingestion, transformation and curation processes
• Ensure alignment with data governance policies, lineage and audit requirements
• Support regulatory, quality and compliance reporting by certifying data accuracy
• Document data standards, business rules and quality findings
• Proactively identify data risks that could impact clinical decisions, analytics or reporting
• Mentor junior analysts and contribute to enterprise data quality best practices

Qualifications:

• Master’s degree in Healthcare Administration, Public Health, Health Informatics, Healthcare Analytics or related field
• 8 to 12 years of experience in healthcare data analytics, data quality or clinical data management
• Strong experience working with EMR/clinical data, including encounters and care attribution
• Advanced SQL skills for validation, reconciliation and analysis
• Experience working with data warehouses (Snowflake preferred)
• Deep understanding of healthcare data workflows and dependencies

Preferred Skills:

• Experience with data quality tooling, profiling or monitoring frameworks
• Familiarity with healthcare terminologies (ICD‑10, CPT, LOINC, SNOMED)
• Understanding of FHIR resource relationships (Encounter‑centric modeling)
• Experience supporting quality reporting, population health or regulatory measures
• Strong communication skills for explaining data risks and findings to non‑technical stakeholders