Hiring: Senior Data Analyst Company: Hinge Health Location: San Francisco, CA Job Posted Time: 2026-09-15 11:43:38 Employment Type: Remote Target Skills & Keywords : BigQuery, Databricks, Python, REST, SQL, Snowflake, dbt About the job 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 Required Skills: •Strategic Analytics & Commercial Leadership •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 •AI Leadership & Self-Service Analytics •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 •Strategically drive 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 Qualifications: •Bachelor's degree in a quantitative field or equivalent professional experience •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 •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 •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 •Location & Hybrid Working Model — San Francisco Compensation: •$129,600 - $194,400 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!