Senior Analytics Developer - Value Based Care

About the Role

Key Responsibilities

• Develop and maintain analytics products and solutions (datasets, reporting, dashboards) that deliver insights to claims, clinical, and operational data for performance in value-based contracts, including monitoring KPIs such as total cost of care, quality measures, risk scores, utilization, and shared savings metrics.
• Monitor and optimize the performance of data management processes and analytics products, ensuring automation and alerting in performance monitoring.
• Develop and maintain analytics frameworks supporting key value-based capabilities including member attribution, benchmarking, performance, stratification, and risk adjustment.
• Understand and leverage various data sources, support data management and pipeline automation in partnership with data engineering, services teams, and third-party vendors including payors.
• Work closely with value-based care analysts, analytics product managers, data science, and health economists to develop and execute on user stories.
• Partner with IT and data governance teams to ensure data quality, integrity, and compliance with applicable standards and policies.

Requirements

• Minimum of 7 years of experience in data analytics, data analysis, or data science, with a bachelor’s degree considered sufficient.
• Proven experience using data and analytics tools, including strong working experience with SQL and at least one analytics or visualization tool such as PowerBI, Tableau, or SigmaComputing.
• Experience working in a modern cloud environment (Snowflake and/or Databricks) and with modern data management tools.
• Experience working with healthcare data types including claims data, payor revenue/premium data, clinical data (HEDIS, HCCs), social determinants of health (SDOH), and operational data and KPIs.
• Knowledge of and experience with electronic health records (EHRs) such as Epic, Cerner, eCW, Allscripts, Athena, and population health management platforms like Epic’s Value Based Care, Innovaccer, Arcadia, or Lightbeam.
• Understanding of clinical workflows and clinical operations related to value-based care and population health.
• Genuine curiosity and desire to build analytics applications that enhance user experience and reduce data access burdens.
• Deep commitment to continuous learning and working within a cross-functional team including clinical and non-clinical stakeholders.
• Experience working within an agile delivery environment (DevOps).

Nice to Have

• Knowledge of and experience with healthcare claims data and related claims analytics tools such as Milliman’s MedInsight, MedeAnalytics, or Tuva.

Qualifications

• A bachelor’s degree or formal training in data analytics.
• Formal training or work experience in data analytics, data analysis, or data science.