Note: The job is a remote job and is open to candidates in USA. Vanna Health is reimagining healthcare for people living with serious mental illness through psychosocial rehabilitation and community-based care. The Senior Data Analyst will translate payer and claims data into defensible insights about member populations, program performance, outcomes, utilization, and value. The role partners with payer clients and internal teams to develop rigorous, repeatable analyses and recommendations.
Responsibilities
- Serve as a primary analytical partner for Vanna's payer relationships
- Translate payer contractual, reporting, and business questions into clear analytical requirements and analyses
- Analyze medical and behavioral health claims, eligibility, attribution, utilization, and other payer datasets
- Develop and validate measures related to enrollment, engagement, utilization, quality, outcomes, and cost
- Analyze ED, inpatient, outpatient, behavioral health, and other utilization patterns across populations and cohorts
- Calculate and interpret measures such as member months, utilization rates, PMPM costs, and population-level trends
- Account appropriately for claims runout, reversals, adjustments, eligibility periods, population changes, and other methodological considerations
- Reconcile Vanna results with payer-reported results and investigate discrepancies
- Anticipate questions clients are likely to ask and proactively identify analyses needed to answer them
- Support recurring client reporting while progressively moving Vanna toward standardized, repeatable analytical products
- Connect payer data with Vanna service data to understand the member journey from attribution and engagement through intervention, outcomes, utilization, and cost
- Compare performance across populations, cohorts, markets, sites, and levels of engagement
- Identify populations that are engaging—or failing to engage—with Vanna's services
- Evaluate relationships between service delivery, member outcomes, and healthcare utilization
- Partner with Service/Operations Analytics to investigate drivers of performance
- Help develop the analytical foundation needed to evaluate Vanna's clinical and economic impact
- Validate source data before using it for client or executive reporting
- Identify anomalies, incomplete data, methodological limitations, and potential sources of bias
- Clearly document analytical methodologies, assumptions, inclusion/exclusion criteria, and limitations
- Partner closely with Vanna's Data Quality & Data Model Lead to establish consistent metric definitions and analytical standards
- Work with Data Engineering to translate analytical requirements into reliable, reusable datasets in Databricks
- Help reduce dependence on one-off analyses by identifying opportunities to standardize frequently used measures and datasets
- Work directly with leaders across Operations, Clinical, Client Success, Finance, Product, and Data Engineering
- Translate ambiguous business questions into structured analytical approaches
- Present complex analyses in language that clinical, operational, payer, and executive audiences can understand
- Distinguish between what the data demonstrates, what it suggests, and what cannot yet be concluded
- Move beyond reporting what happened to explain why it happened, why it matters, and what Vanna should do next
Skills
- 6–8+ years of healthcare analytics experience, with substantial hands-on experience analyzing health plan, medical claims, behavioral health claims, eligibility, membership, attribution, utilization, and cost data
- Deep knowledge of healthcare claims methodology, including continuous eligibility, member months, denominators, claims runout, reversals and adjustments, incurred versus paid considerations, utilization definitions, and cohort construction
- Advanced data querying skills and demonstrated ability to independently analyze large, complex healthcare datasets
- Proven experience designing analytical methodology, rather than solely applying predefined specifications, for ambiguous or complex payer questions
- Experience defining populations, inclusion/exclusion criteria, baseline and measurement periods, comparison groups, utilization measures, PMPM metrics, and longitudinal analyses
- Demonstrated ability to determine whether available data are sufficient to support a conclusion and to clearly articulate methodological limitations when they are not
- Experience reconciling results across payer, claims, eligibility, operational, or clinical data sources and investigating material discrepancies
- Strong understanding of healthcare utilization, cost, population health, and outcomes measurement
- Experience evaluating associations between healthcare interventions, engagement, utilization, cost, and outcomes while appropriately distinguishing association from causal evidence
- Ability to anticipate the methodological questions a sophisticated payer analytics team is likely to raise and prepare supporting analyses proactively
- Strong written and verbal communication skills, including the ability to explain complex analytical methods, assumptions, limitations, and findings to executives and nontechnical audiences
- Demonstrated ability to provide methodological guidance, peer review, or mentorship to other analysts
- Ability to operate with substantial independence and exercise sound analytical judgment when findings have client, contractual, financial, or strategic implications
- Comfort representing Analytics in senior leadership and client discussions when methodology, results, reconciliation, or interpretation are under review
- Direct experience within a health plan, managed care organization, or payer analytics organization
- Medicaid and/or behavioral health analytics experience
- Experience with value-based care, total-cost-of-care, care-management, or population-health programs
- Familiarity with HEDIS or other healthcare quality measures
- Experience with Databricks or comparable cloud analytics platforms
- Python or R experience
- Experience presenting analytical methodology or findings directly to payer clients or senior healthcare executives
Benefits
- Remote work arrangement
- Extensive professional development opportunities
Company Overview