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.