Job Description
This is a high-impact, hands-on role for someone who loves turning complexity into clarity. Youll be one of our first analytics hires, setting the bar for how we define metrics, ship dashboards, and embed analytics into daily decisions. If youre excited to bring structure to ambiguity, build scalable tools from scratch, and drive data literacy across teamswed love to meet you. What Youll 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 metricsMAU, 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 Engineeringreviewing dbt PRs, aligning on schema design, and ensuring SLA compliance Exceptional communication and data storytelling skillscomfortable briefing execs and mentoring power users Nice-to-Have Skills Experience as an early analytics hire, especially in a startup environment where youve 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 Wed Love to Hear From You If You Thrive in fast-paced, ambiguous environments and take initiative without waiting for direction Think like a systems buildercrafting 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