Health Care Data Analyst

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.