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Analytics Engineering Lead

Nourish - New York, NY, United States - Hybrid - posted 2026-09-18

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Nourish is a Series C-funded ($215M total, $100M Series C in 2026) AI-native digital health platform that matches patients with registered dietitians, physicians, medications, lab testing, and AI agents to deliver insurance-covered metabolic health care across all 50 states. Founded four years ago, the company has completed millions of appointments, achieved 3x year-over-year growth, and partnered with health plans covering 200M+ Americans across 250+ health systems. As Analytics Engineering Lead, you will drive the strategy for marketing attribution, performance measurement, and channel optimization while collaborating with the Marketing team to design and execute Nourish's growth roadmap. This role blends analytics engineering with strategic insights—you'll own the full analytics workflow from raw data to models, dashboards, and actionable insights. Key responsibilities include: - Taking full ownership of the analytics stack for marketing and growth functions, from data ingestion through insights delivery - Partnering with business stakeholders to proactively identify and lead analyses that uncover growth and efficiency levers, shaping team priorities - Designing intuitive dashboards for diverse stakeholders that enable fast, evidence-based decision-making - Building and maintaining a robust data foundation in partnership with Engineering, ensuring accurate, scalable infrastructure and a trusted single source of truth - Championing a data-first culture by guiding teams to interpret and act on data, writing clear documentation, and leading by example As an early hire on the Data team, you'll help define the long-term vision for data infrastructure and collaborate closely with Operations, Engineering, and Product teams. The Data team is based in NYC and goes into the office 2-3 days per week; the company is looking for people excited to be part of that in-office culture. Requirements: - 5+ years of relevant experience owning analytics end-to-end at a fast-paced, high-growth company - Deep domain expertise in analytics engineering: clean, performant SQL; hands-on experience with dbt and Fivetran; strong grasp of data modeling, ETLs, and infrastructure fundamentals - Curious, strategic, and outcome-oriented mindset; ability to proactively shape the right questions, translate complex data into clear actionable insights, and balance speed with depth - Builder mentality with thriving on ownership and impact; ability to design clean, scalable systems from scratch and take end-to-end ownership - Strong communication skills; ability to distill deep analysis into crisp, actionable takeaways and earn trust across cross-functional teams - Motivation by impact and mission; belief in the power of food as medicine to transform healthcare

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