Senior Healthcare Data Analyst
TapestryHealth
Remote
Healthcare Tech & Health Informatics
TapestryHealth is a leader in providing Chronic Care Management, Remote Patient Monitoring, and Telehealth Primary Care services to Long-Term Care and Post-Acute Providers. Our solutions empower care facilities to deliver high-quality, timely care amidst staffing shortages and burnout challenges. Through our services, facilities experience fewer hospital admissions and emergency department visits, while residents face fewer acute episodes and families experience less stress, knowing their loved ones are surrounded by proactive care. We help reduce the overall cost of care while improving outcomes for aging and chronically ill individuals.
The Senior Healthcare Data Analyst – ACO & Quality Performance plays a critical role in transforming Tapestry’s clinical, operational, and payer data into actionable insights that improve patient outcomes, optimize performance, and drive value across all programs—CCM, RPM, BHI, and ACO.
This position supports Operations and cross-functional leadership teams by bridging the gap between clinical concepts and technical data implementation. In this role, you'll combine deep healthcare domain expertise with analytical rigor to design and implement views, queries, and dashboards. The ideal candidate combines a strong background in:
- clinical medicine, population health, clinical vocabularies (ICD-10-CM, CPT, HCPCS, etc.), and medical record documentation
- clinical quality improvement and value-based care frameworks
- Data background with experience in developing SQL views and/or Python scripts, as well as generating scorecards and dashboards using visualization tools (e.g. Power BI).
Key Responsibilities
- Population Health Analytics & ACO Performance
- Develop, validate, and automate denominator/numerator logic for ACO quality metrics in collaboration with clinical and IT teams.
- Build and maintain models to evaluate attribution accuracy, gap closure performance, and HEDIS/HCC metrics across populations.
- Partner with external data vendors (e.g., Quantician, SAIVA) to align datasets and ensure consistent measurement methodologies.
- Perform patient-level and cohort-level analysis to identify high-risk populations and prioritize interventions.
- Outcomes Measurement & Enterprise Reporting
- Design and maintain enterprise outcome scorecards that tie operational performance to measurable quality and financial outcomes.
- Support ROI analysis for population health initiatives, showing the impact of CCM, RPM, and BHI programs on cost, utilization, and quality.
- Collaborate with organizational leaders within Finance, Sales, and Operations to translate findings into value-based performance narratives for leadership and payers.
- Ensure routine generation and distribution of clinical quality measure results
- Partner with IT and data engineering teams to improve data pipelines, ETL processes, and data integrity.
- Develop reproducible analytic workflows and automated queries for recurring population health reports.
- Support the implementation of scalable data frameworks that integrate clinical, operational, and financial data sources.
5️. Cross-Functional Collaboration
- Work closely with the Operations, Clinical, and Finance to ensure alignment of analytics with enterprise priorities.
- Serve as a data translator between technical and non-technical stakeholders—transforming analytics into clear, actionable recommendations.
- Support organizational learning by mentoring junior analysts and sharing best practices for data-driven decision-making.
Qualifications
Education & Experience
- Degree/Certifications:
- Bachelor’s degree in Health Information Management, Health Informatics, Nursing, Data Science, Biostatistics, Public Health, related field or work experience
- Clinical Domain Knowledge:
- Understanding of clinical workflows, medical terminology, and healthcare delivery processes
- Experience with clinical data mapping and EHR data structures healthcare analytics, population health, electronic health records, long term care providers, or value-based care analytics
- Familiarity with EHR systems (PointClickCare, PacEHR, or similar) and healthcare interoperability standards (FHIR, HL7)
- Healthcare Data Standards: Working knowledge of ICD-10-CM, CPT, HCPCS, HL7, SNOMED, and other clinical coding systems
- Analytics:
- Minimum of 3 years of experience in healthcare data analysis with demonstrated expertise in:
- developing complex queries in SQL and/or Python
- building and maintaining dashboards and scorecards using visualization tools (Power BI, Tableau, etc.)
- Demonstrated ability to troubleshoot complex data mapping issues and develop creative solutions for non-standard data formats
- Proven track record developing and implementing data validation frameworks and quality assurance processes
- Minimum of 3 years of experience in healthcare data analysis with demonstrated expertise in:
- Client-facing Skills:
- Strong ability to work directly with health system stakeholders, translate technical concepts for technical and clinical audiences, and manage complex data reconciliation project
- Collaborative mindset—comfortable working across IT, Clinical, Operations, as well as outside organizations
- Highly detail-oriented, organized, and able to manage multiple priorities in a fast-paced environment
Preferred Experience
- ACO:
- Experience working with ACO or quality reporting datasets (HEDIS, CMS, NCQA, claims) strongly preferred
- Understanding of value-based care, ACO metrics, and population health performance measurement
- Experience with long term care providers
- Clinical Background : Professional certification (RHIA) or formal healthcare informatics education
- Regulatory Knowledge: Understanding of HIPAA, HITECH, and healthcare data governance requirements