Senior Data Analyst

Senior Data Analyst About Us: Here at Ambience, we never set out to be just another scribe. We’re building the AI intelligence platform that restores humanity to healthcare and drives meaningful ROI for health systems across the country. Our technology helps providers focus on delivering great care by removing the administrative burden that pulls them away from patients and away from their most impactful work. Ambience delivers real-time coding-aware documentation and clinical workflow support across ambulatory, emergency and inpatient settings at the top health systems in North America. Our teams operate relentlessly with extreme ownership to build the best solutions for our health system partners. We value candor, positivity and deep thought — and we expect a lot from each other because we know the problems we’re solving truly matter. Ambience was ranked #1 for Improving the Clinician Experience in the KLAS Research Emerging Solutions Top 20 Report, recognized by Fast Company as one of the Next Big Things in Tech, named one of the best AI companies in healthcare by Inc., and selected as a LinkedIn Top Startup in 2024 and 2025. We’re backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins — and we’re just getting started. 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 WHAT WE LOOK FOR MUST-HAVE SKILLS - 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 - ... (truncated, view full listing at source)