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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.
Job Responsibility:
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
Requirements:
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:
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
What we offer:
Meaningful equity
Dedicated budget for personal development, including access to world class mentors, advisors, and an in-house executive coach
Competitive salary and equity compensation with benefits including health, dental, and vision coverage, quarterly retreats, unlimited PTO, and a 401(k) plan