Qureos Mentor

Reveal HealthTech

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 Thank you for considering the Medical Data Analyst position at Reveal Health Tech. We are a Series A-stage IT startup based in the US and India, delivering technology-driven solutions for the healthcare and life sciences industry as we scale toward our next phase of growth.
 
 
 
 Requirements
 
 
 
 
 About the Role
 
 
 
 We're looking for a Medical Data Analyst who can turn messy healthcare data into crisp, decision-ready insights. You'll build end-to-end analytics solutions, support value-based care initiatives, and partner closely with provider groups, specialty groups, and payers to surface opportunities that improve outcomes, margin performance, and total cost of care. You'll also play a key role in analyzing actuarial and contract performance dynamics- evaluating utilization trends, PMPM/TCOC, and contract benchmarks to ensure programs are financially aligned and sustainable.
 
 
 
 What You'll Do
 
 
 
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 Build analytics products: Own the full Power BI lifecycle&mdash;data modeling, DAX, visuals, RLS, deployment, and documentation
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 Enable value-based care (VBC): Define and track measures (e.g., readmissions, avoidable ER/IP, adherence, risk acuity, PMPM/TCOC), attribution logic, and cohorting
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 Actuarial &amp; contract performance analysis: Support actuarial-oriented analyses including PMPM + risk-adjusted cost modeling, benchmarking, savings reconciliation, trend analysis, and scenario modeling
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 Data wrangling &amp; QA: Ingest, clean, validate, and reconcile claims, eligibility, EMR, and care-management data
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 Performance tracking: Build scorecards and drill-downs for executives, clinicians, care teams, actuarial partners, and payer counterparts
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 Operationalize insights: Create recurring datasets, alerts, and self-service dashboards; document metric definitions, lineage, and reconciliation rules
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 Governance &amp; compliance: Uphold HIPAA/privacy requirements and contribute to data quality standards
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 Ad-hoc analysis: Run cohort analyses, payer/provider comparisons, utilization analysis, risk-adjusted benchmarking, leakage patterns, and trend studies
 
 
 
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 Minimum Qualifications
 
 
 
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 3+ years in healthcare analytics, actuarial services, population health, or payer/provider performance
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 Strong Power BI (DAX, Power Query/M, data modeling, RLS)
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 Solid SQL (CTEs, window functions, performance tuning) and comfort with large datasets
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 Hands-on with claims/eligibility (837/835 concepts, CPT/HCPCS/ICD-10, NPI, taxonomy), EMR extracts, and payer/provider data nuances
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 Experience collaborating with provider groups and payers&mdash;requirements gathering, walkthroughs, and iteration
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 Understanding of value-based care concepts (TCOC, PMPM, savings reconciliation, attribution, risk adjustment, quality measures)
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 Ability to convert ambiguous analytic questions into concrete business metrics with documented methodologies
 
 
 
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 </ul>
 
 Preferred Qualifications
 
 
 
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 Experience with actuarial or contract modeling, shared savings, capitation, bundles, or delegated risk arrangements
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 Experience in cardiology/specialty care, care-management, or remote patient monitoring
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 Python or R for data prep/statistics; exposure to dbt or ETL tooling
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 Cloud data platforms (Azure Synapse/SQL, Databricks, Snowflake, or Redshift)
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 Familiarity with HEDIS/STARs, RAF/HCC models, quality specifications, and performance reporting
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 Data governance: lineage, cataloging, metric definitions, reconciliation rules
 
 
 
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 </ul>
 
 Tech Stack You May Use Here
 
 
 
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 BI: Power BI (Service, Desktop, Deployment Pipelines)
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 Data: SQL Server/Azure SQL/Synapse (or similar), Power Query/M, APIs/flat files
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 Scripting (nice-to-have): Python (pandas), dbt
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 DevOps: Git, CI/CD for BI artifacts, Workspaces, RLS/ALS
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 </ul>
</div>

Medical Data Analyst (Actuarial Analyst)

<div>
 Thank you for considering the Healthcare Data Quality Analyst position at Reveal Health Tech. We are a Series A-stage IT startup based in the US and India, delivering technology-driven solutions for the healthcare and life sciences industry as we scale toward our next phase of growth.
 
 
 
 About The Role
 
 
 
 We're looking for a Healthcare Data Quality Analyst who ensures that healthcare data is accurate, timely, and contract-grade. You'll define data quality rules, reconcile across disparate sources, operationalize validation processes, and partner with provider groups, specialty groups, payers, and internal product teams to make sure analytic outputs can be trusted for clinical operations, financial performance reporting, and value-based care programs. This role sits at the intersection of healthcare data operations, quality engineering, and compliance and plays a critical part in enabling downstream analytics, actuarial evaluations, and performance benchmarking.
 
 
 
 Requirements
 
 
 
 
 
 What You'll Do
 
 
 
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 Data Quality Engineering: Develop, maintain, and automate data validation checks across claims, eligibility, EMR, and care management data
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 Reconciliation &amp; Accuracy: Reconcile payer rosters, attribution files, and eligibility against claims and EMR data to ensure patient and cohort accuracy
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 Standards &amp; Rule Definitions: Define quality rules for accuracy, completeness, timeliness, conformity, and uniqueness&mdash;mapped to business logic and regulatory requirements
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 Root Cause Analysis: Investigate data anomalies, ingestion failures, missingness patterns, mismatched identifiers, and lineage gaps; document root cause and corrective actions
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 Metadata &amp; Lineage: Maintain source-to-target mapping, lineage documentation, and metric definition dictionaries with data engineering and analytics teams
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 Contract &amp; Program Support: Ensure data meets quality thresholds for actuarial and contract performance use cases such as shared savings reconciliation and risk measurement
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 Provider &amp; Payer Partnership: Collaborate with providers, payers, and vendors on file specifications, corrections, protocols, and reconciliation cadence
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 Data Onboarding &amp; Integration: QA new data feeds (claims, eligibility, EMR extracts) to confirm conformity to specifications and downstream readiness
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 Governance &amp; Controls: Contribute to data governance frameworks, access controls, and audit trails aligned with HIPAA, HITRUST, and internal standards
 
 
 
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 </ul>
 
 Minimum Qualifications
 
 
 
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 3+ years in healthcare data quality, healthcare data operations, data engineering, or health informatics
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 Experience validating claims/eligibility (837/835 structures, CPT/HCPCS/ICD-10), NPI/taxonomy, and payer/provider data
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 SQL proficiency (joins, window functions, CTEs) and comfort with large relational datasets
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 Experience reconciling payer attribution and roster data with eligibility and claims
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 Understanding of value-based care concepts (attribution, TCOC, PMPM, risk adjustment, quality measures)
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 Strong problem decomposition, documentation, and cross-team communication skills
 
 
 
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 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
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 Experience with HEDIS/STARS, RAF/HCC models, or other healthcare measurement frameworks
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 Familiarity with HL7/FHIR, CCD/CCDA, or EMR integration patterns
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 Python (pandas) or R for data validation scripting
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 Exposure to ETL/ELT tooling (dbt, ADF, SSIS, Informatica, etc.)
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 Cloud data platforms (Azure Synapse/SQL, Databricks, Snowflake, Redshift)
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 Experience contributing to or operating within data governance frameworks
 
 
 
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 </ul>
 
 Tech Stack You May Use Here
 
 
 
 <ul>
 <li>
 Data: SQL Server/Azure SQL/Synapse, Databricks, Snowflake, APIs/Flat Files
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 Validation: SQL, Python (pandas), dbt (testing), Great Expectations (optional)
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 BI (awareness): Power BI, Tableau
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 DevOps: Git, CI/CD for data artifacts, lineage tools
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 Standards: HIPAA, HITRUST, payer/provider file specifications
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 </ul>
</div>

Healthcare Data Quality Analyst

Join Reveal HealthTech and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Reveal HealthTech

ABOUT_COMPANY

Medical Data Analyst (Actuarial Analyst)

Healthcare Data Quality Analyst