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RightMove Health

Senior Healthcare Economics Analyst

RightMove Health

. Own internal and customer-facing analyses measuring how RightMove’s care model affects outcomes, utilization, experience, and total cost of care .

Posted 9/24/2026full-timeRemote • United StatesSenior💰 $120,000 - $140,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in healthcare analytics, focusing on value-based care, financial and clinical impact evaluation, and translating complex medical data into actionable insights. Proficient in SQL, Excel, and scripting languages for data analysis, with a strong background in musculoskeletal care and population health programs.

Highest-signal resume keywords
Healthcare Analytics ExperienceSQL Querying in Cloud Data WarehousesMedical Claims Data AnalysisValue-Based Care EvaluationCommunication of Analytic Findings

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Healthcare AnalyticsSQLData AnalysisRisk AdjustmentStatistical AnalysisExcel ProficiencyPythonRData VisualizationAnalytic Methodology
Soft Skills
Written CommunicationVerbal CommunicationCollaborationPresentation SkillsProblem-Solving
Tools & Technologies
SnowflakeBigQueryDatabricksClaude CodeSnowflake CortexDbt
Certifications & Qualifications
Master’s Degree in Health EconomicsPublic HealthHealth Services ResearchBiostatistics
Industry Keywords
Value-Based CareMusculoskeletal CarePopulation Health ProgramsVirtual CareProvider Network AnalyticsAt-Risk ContractsHealthcare Technology

Tech Stack

Tools & technologies
BigQueryCloudPythonSQL

About the role

Key responsibilities & impact
  • Own internal and customer-facing analyses measuring how RightMove’s care model affects outcomes, utilization, experience, and total cost of care
  • Evaluate the financial and clinical impact of care interventions and technology investments, including virtual physical therapy and remote monitoring
  • Build and maintain comparison groups, risk adjustment approaches, and measurement methodologies that hold up to external review
  • Translate complex medical data into recommendations that improve savings, quality, and patient navigation
  • Analyze referral patterns, provider performance, and market-level dynamics to identify high-value care opportunities
  • Size and prioritize cost reduction opportunities across the musculoskeletal episode
  • Partner with Data Engineering to build scalable datasets, dashboards, and measurement frameworks
  • Define reusable measurement standards and document methodology for reproducible reporting
  • Communicate findings through executive-ready analyses, customer-facing reports, slide decks, and white papers
  • Present results and methodology to employer and health plan stakeholders
  • Support Commercial and Partner Success teams in renewal, expansion, and new business conversations

Requirements

What you’ll need
  • 3+ years of analytics experience in a value-based care setting, such as a payer, risk-bearing provider group, ACO, or healthcare technology company operating under at-risk contracts
  • Direct experience evaluating program or intervention savings, including building appropriate comparison groups, applying risk adjustment, and accounting for common confounders such as selection effects and regression to the mean
  • Deep working knowledge of medical claims data (structure, limitations, and analytic pitfalls)
  • Demonstrated experience querying large claims datasets using SQL in a cloud data warehouse such as Snowflake, BigQuery, or Databricks
  • Proficiency in Excel and at least one scripting language (Python or R) for analysis
  • Master’s degree in health economics, public health, health services research, biostatistics, or a related field, or equivalent applied experience in a quantitative healthcare analytics role
  • Outstanding written and verbal communication skills, with a track record of translating analytic findings into clear business and clinical implications for non-technical audiences
  • Comfortable with AI tooling and able to leverage Claude Code and Snowflake Cortex to increase the speed and rigor of analytics deliverables
  • Experience with musculoskeletal care, specialty care, virtual care, provider network analytics, or population health programs
  • Experience producing client-facing outcomes and ROI reporting, including presenting results directly to employer or health plan stakeholders
  • Familiarity with analytics engineering practices (dbt or similar frameworks) and dashboard development workflows
  • Experience partnering with actuarial teams on savings validation or contract performance measurement