Clinical Data Analyst

About Us: 

Pager Health is a connected health platform company that enables healthcare enterprises to deliver high-engagement, intelligent health experiences for their patients, members and teams through integrated technology, AI and concierge services. Our solutions help people get the right care at the right time in the right place and stay healthy, while simultaneously reducing system friction and fragmentation, powering engagement, and orchestrating the enterprise. Pager Health partners with leading payers, providers and employers representing more than 28 million individuals across the United States and Latin America.    

We believe that healthcare should work for everyone.  We believe that it’s too important to be as cumbersome and difficult as it is.  And we believe that there is a better way to deliver a simplified, more meaningful healthcare experience for all – one that we’re determined to enable.  

RESPONSIBILITIES:  

• Define payer-grade outcomes measurement for care navigation and wellness programs: savings, quality, utilization, engagement—using transparent methodology, assumptions, and exclusions suitable for actuarial/client analytics review. 

• Claims + clinical/engagement data integration: design data requirements and pipelines that combine medical/Rx claims, eligibility, risk scores, care management/case notes (as applicable), vendor feeds, and navigation engagement signals. 

• Utilization and site-of-care impact analysis: quantify shifts in ED, inpatient admits, readmissions, avoidable visits, outpatient steerage, and guideline-based care gaps closure attributable to navigation/wellness interventions. 

• Population stratification & targeting analytics: segment members by risk, condition, rising-risk, and likelihood-to-engage; identify where navigation and wellness can drive measurable economic value. 

• Support contracting & renewals with evidence: partner with Sales/Client Success to define measurement language in SOWs, set reporting expectations, and provide credible performance narratives for renewals/expansions. 

• Clinical-program translation to economics: connect operational levers to downstream utilization and cost impacts. 

• Measurement governance & QA: implement audit trails, reproducible analyses, and data quality checks to ensure reliability of published results. 

IDEAL CANDIDATE:  

• 10+ years healthcare analytics + medical economics, public health or statistics experience with payer claims and value measurement (PMPM, trend, utilization, quality). 

• Strong methods background in outcomes evaluation / quasi-experimental design; ability to explain methodology clearly to non-technical and actuarial audiences. 

• Hands-on technical skills: advanced SQL plus Python or R; comfort building reusable analytic datasets; BI/dashboarding experience for client and internal reporting. 

• Experience with navigation/wellness metrics: engagement funnels, time-to-care, appointment completion, care gap closure, HEDIS-like measures (as relevant), program adherence, and linking these to utilization/cost. 

• Client-facing communication: can write methodology memos and present results with appropriate caveats; confident interacting with payer analytics/actuarial counterparts. 

• Cross-functional influence: demonstrated ability to align Product, Clinical/Operations, and Commercial teams on definitions, data needs, and measurement commitments. 

For Colorado, Nevada, New York, and Washington DC-based employment: In accordance with the Pay Transparency laws the base salary range for this position is $150,000 to 170,000 The compensation package may include commissions, stock options, plus a range of medical, dental, vision, financial, generous PTO, stipends for professional development, and wellness benefits.