Clinical Outcomes Analyst (Healthcare Claims Analyst)

Maven Clinic is the world's largest virtual clinic for women and families, dedicated to improving healthcare outcomes. They are seeking a Clinical Outcomes Analyst to analyze and communicate the impact of their services on clinical and business outcomes, leveraging healthcare claims and platform data to inform product strategy.

Responsibilities:

• Help design rigorous retrospective and prospective analysis plans to evaluate Maven’s impact on health outcomes and ROI
• Quantitatively analyze data for projects assessing Maven’s influence on health outcomes, healthcare experience, and ROI using statistical analysis software
• Extract insights on a diverse set of clinical and operational outcomes on our internal data platform in Looker / SQL
• Participate in retrospective evaluations of Maven’s impact for existing clients, including analysis of healthcare claims and self-reported platform data, study design, and communication of results in Powerpoint and / or Word
• Collaborate with the Product team on analyses to inform clinical programming and product design
• Perform market research to help Maven build internal analytics capabilities or evaluate potential partnerships
• Collaborate with clinical operations to inform key operational decisions (e.g., cohort eligibility)

Requirements:

• A bachelor's degree with 2-3 years of healthcare‑industry or consulting experience or a master's or PhD in a relevant field
• Experience working with and manipulating healthcare claims (medical & Rx) to answer complex questions about outcomes and utilization patterns
• Comfort with rapid, accurate data exploration, in SQL / Looker. A live SQL exercise will be conducted as part of the interview process
• Strong ability to use and curiosity regarding AI and how it can be used to make our work faster and Maven's product better for our members
• A profile that balances technical abilities to answer questions through data manipulation and strong written and verbal communication skills, including 'translation' with team members and clients of varying technical abilities
• A sense of flexibility and prioritization in juggling both long-term, strategic projects and ad hoc, urgent requests as needed in a fast-paced startup environment
• A strong client service orientation to guide prioritization
• Solid SQL or Python for large‑scale data analysis, with a bonus of R for heavier statistics
• Data‑visualization tools (Looker a plus)
• Experience in client-facing or external stakeholder-facing roles
• Comfort with presenting results in an external facing setting (e.g., client meetings, scientific forums, etc.)
• Financial modeling and/or applied statistics
• Familiarity with industry financial models (e.g., PMPM, risk adjustment, HEDIS/Stars)
• Familiarity with value‑based‑care payment models (bundles, shared savings)
• Experience creating clear, compelling slide narratives in a client‑facing environment