Clover Health

Healthcare

DataAnalyst,Value-BasedCareAnalytics

$96–125k United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Analyst, Value-Based Care Analytics at Clover Health. Skills: Value-based care analytics, Data storytelling, Customer analytics. Build VBC performance metrics. Develop customer-facing analytics”

Industry & Context.

Healthcare
Problems you'll solve

Identify gaps; Identify trends; Identify opportunities; Identify levers for improvement; Identify priority action areas

What They're Looking For.

Must Have

4+ years healthcare data analytics experience, SQL skills, Claims data experience, Eligibility data experience, Clinical datasets experience

Nice to Have

Medicare Advantage experience, Familiarity with CMS risk adjustment models, Familiarity with Star Ratings methodology, Familiarity with MA quality bonus payment structures, Familiarity with clinical terminologies, Experience using Python for data manipulation, Experience using R for data manipulation, Experience using Python for cohort analysis, Experience using R for cohort analysis, Experience using Python for statistical modeling, Experience using R for statistical modeling, Prior experience in a health tech company

What You'll Do.

Build VBC performance metrics

Develop customer-facing analytics

Analyze Medicare Advantage performance data

Translate complex data findings

Conduct deep-dive utilization analyses

Conduct deep-dive cost analyses

Partner with Customer Success teams

Partner with Provider Operations teams

Prepare performance reviews

Deliver performance reviews

Collaborate with Data Engineering

Validate claims data pipelines

Validate clinical data pipelines

Ensure metric consistency

Contribute to scalable analytics infrastructure

Develop reusable SQL libraries

Develop metric definitions

Develop documentation

How You'll Work.

Team & Collaboration

Customer Success teams; Clinical teams; Product teams; Data Engineering; Provider Operations teams

Communication Scope

Executive-ready narratives; Slide-ready visuals; Structured QBR materials; Presenting findings

Full Job Description

Counterpart Health is an AI‑powered physician enablement platform that delivers clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and integrates with EHR systems, helping care teams drive value-based outcomes, close care gaps, and proactively manage chronic disease. As we expand across Medicare Advantage and other value-based care programs, we need analytical talent that can translate complex clinical and financial data into narratives that drive action, for both our internal teams and our payer and provider customers. You will be part of the analytical engine behind Counterpart Health’s value-based care performance insights. This role sits at the intersection of risk adjustment, quality measurement, utilization management, and cost analytics, and you will be expected to own the metrics that matter most to our payer and provider partners. Beyond the numbers, you are a storyteller: you turn dense claims and clinical data into clear, compelling narratives that help customers understand performance, identify opportunities, and take action. You will work closely with Customer Success, Clinical, and Product teams to ensure our analytics are accurate, trusted, and decision-ready. As a Data Analyst, you will: Build and maintain core Value-Based Care (VBC) performance metrics across risk, quality, utilization, and cost domains, including HCC capture rates, RAF scores, PMPM trends, and inpatient/ED utilization rates. Develop customer-facing analytics, reports, and dashboards that surface actionable performance insights for payer and provider partners in a clear, narrative-driven format. Analyze Medicare Advantage performance data, including risk adjustment, quality bonus payments, and benchmark performance, to identify gaps, trends, and opportunities at the patient, provider, and market level. Translate complex data findings into executive-ready narratives: written summaries, slide-ready v

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