Senior Data Analyst
About The Position
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.
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 Haves
- 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
Responsibilities
- 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
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees
