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Senior Data AnalystAmbience HealthcareSan Francisco, California, United States

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Senior Data Analyst

Ambience Healthcare
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States

Über

About Us:

Ambience Healthcare is the leading AI platform for documentation, coding, and clinical workflow, built to reduce administrative burden and protect revenue integrity at the point of care. Trusted by top health systems across North America, Ambience's platform is live across outpatient, emergency, and inpatient settings, supporting more than 100 specialties with real-time, coding-aware documentation. The platform integrates directly with Epic, Oracle Cerner, athenahealth, and other major EHRs. Founded in 2020 by Mike Ng and Nikhil Buduma, Ambience is headquartered in San Francisco and backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, Kleiner Perkins, and other leading investors.

Join us in the endeavor of accelerating the path to safe & useful clinical super intelligence by becoming part of our community of problem solvers, technologists, clinicians, and innovators.

About the Role

We're hiring a Senior Data Analyst to help lay the foundation of a modern analytics function at Ambience. You'll partner closely with our Data Engineering team to transform raw data into trusted insights, intuitive dashboards, and self-service tools that support every function across the company—from Product and Clinical teams to Customer Success, Finance, and GTM.

This is a high-impact, hands-on role for someone who loves turning complexity into clarity. You'll be one of our first analytics hires, setting the bar for how we define metrics, ship dashboards, and embed analytics into daily decisions. If you're excited to bring structure to ambiguity, build scalable tools from scratch, and drive data literacy across teams—we'd love to meet you.

What You'll Accomplish
  • Build intuitive, actionable dashboards for internal teams (Product, Customer Success, Execs) and external stakeholders (customers, partners)

  • Define and maintain trusted KPI definitions for core business metrics—MAU, feature adoption, churn risk, ROI impact, and more

  • Launch predictive models (e.g. churn forecasting, ROI projections) and surface insights in tools teams already use (e.g. Slack, Notion)

  • Develop

  • San Francisco, California, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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