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San Francisco, California, United States
Hybrid
The Commercial Analytics & DS team is the analytical engine of Hinge Health's commercial business – the team that CS, Partnerships/HSO, and Commercial leadership rely on for the data, metrics, and strategic thinking that drive client retention, program growth, and commercial decision-making. We build the self-service analytics infrastructure, AI-powered workflows, and high-stakes deliverables that define how HH's commercial organization understands and acts on its data.
We are looking for a Senior Data Analyst to serve as the team's senior individual contributor, dedicated AI champion, and organizational thought partner. You will independently own the team's most complex and highest-stakes initiatives – from the CS KPI and partner reporting suite to the commercial dbt data layer to the team's AI and self-service portfolio – and serve as the go-to analytical authority for CS, Commercial, and Partnerships/HSO leadership. AI ownership is a primary mandate, not a side contribution: the foundations are real (a working AFTR workflow, a first-generation Data Discovery Agent, active AnswerBot development), and your job is to take those proof points from promising to compounding. You are technically deep in SQL, dbt, and cloud data platforms – and you use that depth in service of framing strategy and owning methodology, not just executing it. The team operates lean and moves fast. If the role you are imagining requires someone to write tickets and execute – this is not it.
Serve as the primary analytical thought partner to CS, Commercial, and Partnerships/HSO leadership – owning the framing, scoping, and delivery of high-impact analyses across client retention strategy, surgery intent analytics, program expansion, commercial performance, client health, and performance guarantee reporting
Own and maintain the CS KPI and Bowler reporting suite – the dashboards and metrics CS leadership depends on to track commercial performance
Lead multi-quarter analytical initiatives end-to-end with full autonomy; the team's P0 initiatives (Analytics OS, client hub, retention model) should not require the hiring manager to carry them
Navigate complex cross-functional dynamics: manage stakeholder relationships without authority, push back constructively when data is being misread, drive alignment on methodology even when it is inconvenient, and absorb organizational friction so the rest of the team can focus on the work
Own the team's AI and self-service strategy as the dedicated AI champion for Commercial Analytics – the counterpart to the AI lead role on HH's product-side Data Science team, with equivalent mandate and accountability
Scale and compound the team's existing AI portfolio: the CSM AnswerBot (v2 rebuild in Claude, a recurring stakeholder ask with active external pressure on timelines); the Data Discovery Agent (DDA) (v1 is in production and demonstrates the concept works; v2 must reach the reliability and scale the organization needs); and AFTR (Add Field To Report) v2.0 (proven internally as a meaningful toil-reducer; v2.0's ambition is to surface it directly to stakeholders so they can extend their own reports without analyst involvement)
Drive the team's contribution to the Analytics OS – the long-term platform into which the AnswerBot, DDA, and AFTR are intended to be incorporated; own Commercial Analytics' roadmap within it and ensure the tools you are scaling are being built toward that destination from day one
Use AI-assisted tools (Claude Code, Cursor, and equivalents) actively and with genuine curiosity; bring a real appetite for agentic workflows, and contribute to Matik-powered reporting automation that reduces the team's dependency on manual, recurring analytical requests
Own and evolve the commercial dbt data layer and mesh architecture – keeping it clean, well-tested, and scalable
Drive CDM enhancements including program-specific modeling (migraines, WPH, GI) and user-level pain reporting updates tied to the NRS/VAS transition
Partner with analytics engineers and data engineers to ensure commercial data flows reliably from upstream services into reporting-ready tables; advocate for upstream instrumentation best practices with Engineering partners
Communicate complexity simply and without condescension – you can explain a data model architecture, a statistical methodology, or a pipeline failure to a CSM, a CS VP, and a data engineer, and the explanation lands differently each time because you know your audience
Uplevel team analytical capability through documentation, structured knowledge transfer, ad hoc coaching, and building shared practices
Mentor through design reviews, analytical critique, and real pairing – actively raising the bar for what good looks like
Bachelor's degree in a quantitative field or equivalent professional experience
3+ years of experience as a data analyst with a demonstrated track record of owning complex, cross-functional analytical work in a commercial or product environment
Sufficient technical depth in SQL, Python, and cloud data platforms (Databricks, Snowflake, BigQuery, or equivalent) to shape data architecture decisions, scope data model work, and partner credibly with analytics engineers
Experience delivering strategic analytical work to VP+ stakeholders – including framing ambiguous problems, developing methodology under uncertainty, and presenting results to people who will challenge you
Demonstrated ability to drive organizational alignment on data definitions, methodology, or reporting strategy across CS, Product, and engineering stakeholders without relying on formal authority
Deep healthcare industry knowledge – clinical, payer, provider, or digital health; the team's work (concurrent care, clinical outcomes, commercial contracting, payer reporting) demands fluency that only comes from having worked in it
Experience serving as a dedicated AI champion on an analytics team – not just a power user or early adopter, but someone who has taken existing AI proof points and scaled them into reliable, compounding capabilities that other people depend on; the portfolio here exists and is working – it needs ownership at scale
Track record of communicating analytical complexity to non-technical stakeholders clearly and without jargon – a CFO, a CSM team, and a data engineering team can all understand the same decision and walk away able to act on it
Prior experience building or leading self-service analytics platforms – including the governance, documentation, and training that makes self-service actually work; experience with a unified analytics platform that consolidates multiple tools under a shared architecture
History of mentoring analysts and raising team capability through shared standards, design review, and direct coaching – not just completing deliverables
Background in a lean, high-ownership team where you had to set your own analytical agenda rather than receive it – and a demonstrated preference for operating that way
This role is based in our San Francisco HQ and follows Hinge Health’s hybrid working model. We believe that remote work and in-person work each have their own advantages, and we want to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days per week, for the full 8 hours of a typical business day. Our San Francisco office also has a dog-friendly workplace program.
About Hinge Health
Hinge Health leverages software, including AI, to largely automate care for joint and muscle health, delivering an outstanding member experience, improved member outcomes, and cost reductions for its clients. The company has designed its platform to address a broad spectrum of MSK care—from acute injury, to chronic pain, to post-surgical rehabilitation—and the platform can help to ease members’ pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. The company is headquartered in San Francisco, California.
Learn more at http://www.hingehealth.com
What You'll Love About Us
Participation in our Employee Stock Purchase Plan (ESPP), allowing you to acquire company stock via payroll at a 15% discount against the lower market price.
Comprehensive and inclusive medical coverage and benefit programs for you and your dependents.
Flexible retirement savings through Traditional or Roth 401(k) investment paths.
Dedicated lifestyle stipends designed to fuel your professional growth and continuous learning.
Culture and Engagement
Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter. By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy.
Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com.
