Health Care Data Analyst
Location: - Remote
Must Need 8+
Healthcare Data Integration & Validation
· Analyze, onboard, and validate healthcare data from multiple payer, clinical, and third-party sources.
· Support data mapping, transformation, reconciliation, and integration activities across healthcare datasets.
· Perform source-to-target analysis and validate data consistency, completeness, and accuracy.
· Design and execute data quality checks to identify anomalies, gaps, and inconsistencies.
· Distinguish between source data issues, transformation issues, and reporting issues, and drive resolution with appropriate stakeholders.
· Support implementation and onboarding projects from discovery through production deployment.
Quality, Risk & Population Health Analytics
· Support quality reporting and population health initiatives through analysis of healthcare data.
· Work with quality measures including HEDIS, MIPS, Stars, and other value-based care measures.
· Analyze care gaps, utilization patterns, quality performance, and member populations.
· Support risk adjustment and claims-based analytics initiatives.
· Develop actionable insights that help clients improve quality outcomes and operational performance.
Reporting & Business Intelligence
· Build and maintain dashboards, scorecards, and reports using Power BI.
· Translate business requirements into meaningful KPIs, metrics, and visualizations.
· Develop client-facing and operational reporting solutions that support decision-making.
· Conduct ad hoc analyses and present findings to technical and non-technical stakeholders.
Client & Stakeholder Collaboration
· Partner directly with clients to understand business objectives, reporting requirements, and data challenges.
· Participate in requirements gathering, testing, implementation, and solution discussions.
· Clearly communicate data quality findings, risks, recommendations, and analytical insights.
· Collaborate effectively across implementation, engineering, product, and client teams.
What You Need
Education
● Bachelor''s or Master''s degree in Computer Science, Information Systems, Statistics, Healthcare Informatics, Business Analytics, Economics, or a related field.
Experience
- 3+ years of experience in healthcare analytics, healthcare data management, healthcare consulting, population health, or healthcare technology.
- Experience working with payer, provider, or population health datasets.
Required Technical Skills
Data Analysis & Reporting
- Advanced SQL including:
- Complex joins
- Common Table Expressions (CTEs)
- Window functions
- Aggregations
- Query optimization and performance tuning
- Power BI dashboard development and reporting
- Advanced Microsoft Excel
- Data profiling, reconciliation, and validation
Data Integration
- Understanding of data integration and ETL concepts.
- Experience performing source-to-target mapping and data onboarding activities.
- Familiarity with enterprise data warehouse environments.
- Exposure to platforms such as Snowflake, PostgreSQL, or similar modern analytics environments.
Healthcare Data Knowledge
Strong understanding of:
- Medical claims (professional and institutional)
- Pharmacy claims
- Member and eligibility data
- Provider data
- Clinical/EHR data
- Population Health Management
- Value-Based Care programs
- Risk Adjustment concepts
- HEDIS quality measures
- MIPS quality programs
- Healthcare quality reporting
Data Quality & Validation
- Strong data quality mindset with the ability to:
- Identify data anomalies and outliers
- Assess completeness and accuracy of datasets
- Design systematic validation processes
- Communicate data quality findings effectively
- Experience working with data quality monitoring frameworks and validation methodologies.
Preferred Qualifications
- Exposure to healthcare data standards including ICD-10, CPT, HCPCS, NDC, LOINC, and NPI.
- Experience with healthcare interoperability concepts such as HL7 and FHIR.
- Experience supporting value-based care, risk adjustment, or quality improvement programs.
- Familiarity with data quality monitoring tools and automated validation frameworks.
- Exposure to AI-enabled productivity and analytical tools.
Good to Have
- Python scripting for data investigation, automation, and advanced analytics.
- Experience building reusable data validation or quality monitoring processes.
- Knowledge of cloud analytics ecosystems and modern healthcare data platforms.
Key Competencies
- Strong analytical and problem-solving skills.
- Ability to identify patterns, anomalies, and opportunities within complex healthcare datasets.
- Excellent communication and stakeholder management skills.
- Ability to explain technical findings to non-technical audiences.
- Strong organizational skills and ability to manage multiple concurrent projects.
- Ownership mindset with a focus on quality and client success.
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