Cone Health · 2 weeks ago
Senior Analytics Developer - Value Based Care
Cone Health is seeking a Senior Analytics Developer specializing in Value Based Care. The role involves developing and maintaining analytics products to provide insights into performance metrics for value-based contracts, while collaborating with cross-functional teams to ensure data quality and compliance.
Health CareMedicalMedical Device
Responsibilities
Develop and maintain analytics products and solutions (datasets, reporting, dashboards) that are used to deliver insights to claims, clinical, and operational data to assess performance in value-based contracts including for monitoring key performance indicators (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 and solutions
Ensure automation and alerting in performance monitoring
Develop and maintain analytics frameworks that support key value-based capabilities including member attribution, benchmarking, performance, stratification, and risk adjustment
Understand and leverage a variety of data sources as required, support data management and data pipeline automation in partnership with data engineering and services teams and third-party vendors including payors as needed
Work closely with value-based care analysts, analytics product managers, data science, and health economists to develop execute on user stories
Partner with IT and data governance teams to ensure data quality, integrity, and compliance with applicable governance and organizational standards and policies
Qualification
Required
Minimum of 7 years of experience. A bachelor's degree is considered to meet this requirement. Other formal training in data analytics may be considered on a case-by-case basis
Formal training or work experience in data analytics, data analysis, or data science
Proven experience using data and analytics tools
Strong working experience using SQL and at least one analytics or visualization tool (PowerBI, Tableau, SigmaComputing, or other)
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, payor supplemental data, clinical data including clinical quality metrics (HEDIS) and risk adjustment (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 (such as Epic's Value Based Care, Innovaccer, Arcadia, Lightbeam or other care management or population health platforms)
Understanding of clinical workflows and clinical operations as they relate to value-based care and population health
Genuine desire and curiosity to build analytics applications that wow users and reduce their burden in accessing and using data
Deep commitment to continuous learning as part of a cross-functional team that includes clinical and non-clinical stakeholders
Experience working within an agile delivery environment (DevOps)
Preferred
Knowledge of and experience with healthcare claims data and related claims analytics tools (such as Milliman's MedInsight, MedeAnalytics, Tuva or claims analytics tools)
Company
Cone Health
Cone Health is a not-for-profit network of health care providers serving people in Guilford, Forsyth, Rockingham and surrounding counties.
H1B Sponsorship
Cone Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (16)
2023 (7)
2022 (3)
2021 (6)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$0.1M2024-06-21Acquired
2015-08-11Seed· $0.1M
Leadership Team
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