Analytics Developer Intermediate - Value Based Care

About the Role

Key Responsibilities

• Develop and maintain analytics products and solutions (datasets, reporting, dashboards) used to deliver insights to claims, clinical, and operational data for assessing 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.
• Leverage various data sources, support data management and pipeline automation in partnership with data engineering, services teams, and third-party vendors including payors.
• Collaborate 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 5 years of experience; a bachelor’s degree considered to meet 3 years, a master’s degree an additional 1 year, and a doctorate an additional 2 years of experience.
• Proven experience using data and analytics tools.
• Strong working experience with SQL and at least one analytics or visualization tool (PowerBI, Tableau, SigmaComputing, or other).
• Experience working with healthcare data types including claims data, payor revenue/premium data, clinical data (including clinical quality metrics and risk adjustment), social determinants of health, and operational data and KPIs.
• Genuine desire and curiosity to build analytics applications that improve user experience and data accessibility.
• Deep commitment to continuous learning within a cross-functional team including clinical and non-clinical stakeholders.

Nice to Have

• Experience working within an agile delivery environment (DevOps).
• Knowledge of and experience with healthcare claims data and related claims analytics tools (such as Milliman’s MedInsight, MedeAnalytics, Tuva).
• 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, Lightbeam.
• Understanding of clinical workflows and clinical operations related to value-based care and population health.

Qualifications

• Formal training in data management, data engineering, analytics product development, and/or healthcare analytics and operations may be considered.