Healthcare Data Quality Analyst
Reveal HealthTech
full-time
Posted on:
Location Type: Hybrid
Location: Bengaluru • India
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About the role
- Ensure healthcare data is accurate, timely, and contract-grade.
- Define data quality rules and operationalize validation processes.
- Reconcile payer rosters and eligibility against claims data.
- Investigate data anomalies and document root causes.
- Maintain mapping and documentation with data engineering teams.
- Collaborate with providers and payers on data specifications.
- QA new data feeds for conformity to specifications.
- Contribute to data governance frameworks and audit trails.
Requirements
- 3+ years in healthcare data quality, healthcare data operations, data engineering, or health informatics.
- Experience validating claims/eligibility (837/835 structures, CPT/HCPCS/ICD-10), NPI/taxonomy, and payer/provider data.
- SQL proficiency (joins, window functions, CTEs) and comfort with large relational datasets.
- Experience reconciling payer attribution and roster data with eligibility and claims.
- Understanding of value-based care concepts (attribution, TCOC, PMPM, risk adjustment, quality measures).
- Strong problem decomposition, documentation, and cross-team communication skills.
- Experience with HEDIS/STARS, RAF/HCC models, or other healthcare measurement frameworks.
- Familiarity with HL7/FHIR, CCD/CCDA, or EMR integration patterns.
- Python (pandas) or R for data validation scripting.
- Exposure to ETL/ELT tooling (dbt, ADF, SSIS, Informatica, etc.).
- Cloud data platforms (Azure Synapse/SQL, Databricks, Snowflake, Redshift).
- Experience contributing to or operating within data governance frameworks.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data qualitydata operationsdata engineeringhealth informaticsSQLPythonRETLELTdata validation
Soft skills
problem decompositiondocumentationcross-team communication