Director of Data & Analytics
RightMove Health
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
Job Level
About the role
- Lead development and refinement of RightMove’s MSK condition and procedure data model, including cohort definitions, inclusion/exclusion logic, and episode construction.
- Partner with engineering and data teams to support ingestion and integration of key datasets, including claims, eligibility, provider network, and referral data.
- Develop and maintain clear, payer-ready methodology documentation describing RightMove’s cohort definitions, cost attribution models, and analytical methodologies.
- Develop analytical models and reporting that inform market opportunity, utilization patterns, and care pathways across MSK populations.
- Analyze cost and utilization trends by condition, geography, provider type, and site of care.
- Evaluate patient care journeys and referral pathways to identify variation in care patterns and opportunities for earlier intervention.
- Build dashboards and reporting tools using modern BI tools, likely Sigma or LightDash, to support internal decision-making and customer reporting.
- Lead refinement of RightMove’s clinical savings models, estimating the financial impact of clinical programs and pathways.
- Develop population-level cost and utilization models that support PMPM savings projections, intervention impact estimates, and value-based care contracting discussions.
- Partner with clinical leadership and external experts to ensure analytical approaches reflect real-world care pathways and operational interventions.
- Work with RightMove’s actuarial partner to validate savings methodologies, risk adjustment approaches, and cost modeling assumptions.
- Translate analytical outputs into clear insights that support payer conversations, contracting discussions, and customer reporting.
- Analyze provider and facility performance to identify cost drivers, variation in practice patterns, and referral behaviors.
- Generate insights that support network design, preferred provider strategies, and referral pathway optimization.
- Partner with clinical and market development teams to support provider engagement with actionable data insights.
- Establish foundational data and analytics capabilities, including scalable reporting infrastructure and analytical workflows.
- Partner with data engineering to build a modern analytics stack that supports both internal analytics and external customer reporting.
- Develop internal dashboards and customer-facing reporting using business intelligence tools.
Requirements
- 8+ years of experience in healthcare analytics, health economics, payer analytics, or health services research.
- Deep experience working with medical and pharmacy claims data.
- Strong understanding of ICD-10, CPT/HCPCS codes, and episode-based healthcare analysis.
- Experience analyzing healthcare utilization patterns, cost drivers, and provider variation.
- Experience building savings models, actuarial analyses, or value-based care analytics.
- Strong SQL skills and proficiency in analytical tools such as Python, R, or similar.
- Ability to translate complex analyses into clear insights and narratives for business leaders, clinicians, and payer stakeholders.
- Experience presenting analytics and insights to customers, payer partners, or external stakeholders is strongly preferred.
Benefits
- (Not explicitly mentioned)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
healthcare analyticshealth economicspayer analyticshealth services researchICD-10CPT codesHCPCS codesSQLPythonR
Soft Skills
analytical thinkingcommunicationpresentation skillscollaborationproblem-solvinginsight generationnarrative translationstakeholder engagementleadershipinterpersonal skills