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 account health, telemetry, and ROI dashboards used to guide QBRs, product roadmap, and revenue strategy
• Collaborate with data engineers on semantic layers, testing frameworks, and scalable data modeling
• Lead data bootcamps, publish a searchable data catalog, and champion self-service analytics across functions
• Translate stakeholder questions into clear KPIs, hypotheses, and decision-ready analysis

Must-Have Skills What We Look For

• 5+ years in a full-time analytics/BI role at a high-growth company or data-focused organization
• Expert-level SQL for complex joins, window functions, query optimization
• Strong proficiency in Python or R for data wrangling, analysis, and light ML/forecasting
• Mastery of at least one modern BI platform (e.g. Power BI, Looker, Tableau, Sigma)
• Experience partnering cross-functionally with teams like Product, CS, Ops, GTM, and Finance
• Comfort working with Data Engineering—reviewing dbt PRs, aligning on schema design, and ensuring SLA compliance
• Exceptional communication and data storytelling skills—comfortable briefing execs and mentoring power users

Nice-to-Have Skills

• Experience as an early analytics hire, especially in a startup environment where you’ve built workflows from scratch
• Experience operationalizing ML models into workflows (e.g. Slack alerts, CRM triggers)
• Background in healthcare, finance, or compliance-driven domains
• Passion for mission-driven work in sectors like health, education, or climate
• Demonstrated mentorship and leadership in cross-functional or data literacy initiatives

We’d Love to Hear From You If You…

• Thrive in fast-paced, ambiguous environments and take initiative without waiting for direction
• Think like a systems builder—crafting scalable tools, not just one-off analyses
• Communicate clearly with both technical and non-technical partners
• Care about making a real-world impact, especially in mission-critical domains like healthcare
• Are energized by teaching others how to use data, not just analyzing it yourself

Pay Transparency The base compensation for this role is approximately $200,000 - $230,000 per year, excluding equity or bonus. We offer meaningful equity so our team shares directly in the value we create. If you’re outside this range, we still encourage you to apply—we evaluate compensation case by case based on experience.

Location We’re targeting candidates who can join us in our San Francisco office a few days a week. We believe the best data work happens through tight, cross-functional collaboration—and we’ve designed our hybrid model to make that easy and energizing.

Being At Ambience

• An opportunity to work with cutting edge AI technology, on a product that dramatically improves the quality of life for healthcare providers and the quality of care they can provide to their patients
• Dedicated budget for personal development, including access to world class mentors, advisors, and an in-house executive coach
• Work alongside a world-class, diverse team that is deeply mission aligned
• Ownership over your success and the ability to significantly impact the growth of our company
• Competitive salary and equity compensation with benefits including health, dental, and vision coverage, quarterly retreats, unlimited PTO, and a 401(k) plan

Ambience is committed to supporting every candidate’s ability to fully participate in our hiring process. If you need any accommodations during your application or interviews, please reach out to our Recruiting team at accommodations@ambiencehealthcare.com . We’ll handle your request confidentially and work with you to ensure an accessible and equitable experience for all candidates. Ambience Healthcare has become aware of scams targeting jobseekers with fake jobs and even interviewing people. Our emails will always come from @ambiencehealthcare.com. We would never our ask candidates to download apps or make any form of payment(s). If you are contacted through WhatsApp, Telegram, similar but fake email domains, or asked to make a payment, these contacts are not legitimate. Report the issue immediately to LinkedIn and the