Senior Data Analyst sf, ca

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

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