Senior Data Analyst
Hinge Health · San Francisco-HQ · US
Health Tech
Hybrid
Not yet analysed
Demand85
Career growth88
Healthcare fit75
Remote potential70
5-year outlook
Senior data analysts in health tech with AI/ML focus can expect strong salary growth, likely in the six-figure range with equity, given the strategic nature and technical depth required. Exact figures depend on location and company stage.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
full-time
Date found
2026-09-17
Intelligence details
Why this is worth applying to
Clinicians with strong data/analytics skills and an interest in health tech should consider this role—it offers a high-impact, strategic position in a growing digital health company. However, it requires proven technical depth in SQL/dbt/cloud and AI, so only those with substantial analytics experience should apply.
Who should apply
Doctors, nurses, or allied health professionals who have transitioned into data analytics, possess strong SQL/dbt/cloud skills, and have experience with AI/ML workflows. Also suitable for healthcare graduates with a data science or analytics background and a passion for commercial strategy in health tech.
CV angle
Highlight clinical domain expertise as a differentiator for understanding healthcare data and stakeholder needs. Emphasize any experience with SQL, dbt, cloud platforms, AI tools, and strategic analytics projects. Frame clinical experience as evidence of ability to navigate complex, high-stakes environments and communicate with diverse stakeholders.
Skills to highlight
- SQL
- dbt
- Cloud data platforms (e.g., Snowflake, BigQuery)
- AI/ML workflow development
- Stakeholder management
- Strategic analytics
- Self-service analytics infrastructure
- Data storytelling
Role summary
Senior Data Analyst at Hinge Health, a digital health company, responsible for leading commercial analytics, owning AI-powered self-service tools (AnswerBot, Data Discovery Agent, AFTR), and serving as the analytical thought partner to commercial leadership. The role requires deep technical skills in SQL, dbt, and cloud platforms, plus strategic thinking and AI ownership.
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