Data Analytics Lead

About us Nourish is on a mission to improve people’s health by making it easy to eat well. Nutrition-related chronic disease is the largest and most overlooked crisis in the world. Food can be medicine: working with a Registered Dietitian is one of the most effective interventions available, but Nourish is building an AI-native, patient-friendly healthcare system centered on nutrition that improves outcomes, lowers costs, and helps people live healthier, longer lives. We launched three years ago, are live in all 50 states, and already have thousands of dietitians and hundreds of thousands of patients on the platform. We are growing quickly, have partnered with national health insurance companies and provider groups, and have raised $115M from top-tier VCs including JP Morgan Growth Equity, Thrive Capital, Index Ventures, Y Combinator, Maverick Ventures, Box Group, Atomico, G Squared, and Pinegrove Venture Partners. Our angel investors include world-class healthcare founders from Oscar, Rightway Health, Headway, Spring Health, and Alto Pharmacy, as well as soccer star Alex Morgan and the founders from Olipop and Notion. Learn more about us here and read about our recent Series B here . About the Role We’re scaling quickly, and data is one of our most important strategic levers for unlocking growth and improving patient outcomes. As a Data Analytics Lead, you'll own end-to-end analytics within a business function—shaping our data roadmap, bringing structure to ambiguous problems, and enabling smarter, faster decision-making across the organization. This role blends analytics engineering and strategic insights: you’ll be responsible for building clean, scalable data models and pipelines, and surfacing clear, actionable insights that accelerate our impact. Reporting to our Head of Engineering , and as one of the first hires focused on analytics at Nourish, you’ll help define our long-term vision for data and collaborate closely across our Operations, Engineering, Product Design teams. Our data team is fully based in NYC and goes into the office 3-4 days a week, and while we don't have any required number of days in office, we're looking for people who would be excited to be part of that culture. Key Responsibilities Own the full analytics stack for a business-critical function: Take full ownership of the analytics workflow—from raw data to models, dashboards, and insights Deliver high-impact insights: Partner closely with business stakeholders to proactively identify and lead analyses that answer key strategic questions, uncover growth and efficiency levers, and shape team priorities and roadmaps Build dashboards that drive action: Design intuitive dashboards for a broad range of stakeholders that deliver clarity and enable fast decision-making Build and maintain a robust data foundation: Partner with Engineering to validate and optimize pipelines, ensuring our data infrastructure is accurate, scalable, and supports a trusted single source of truth Champion a data-first culture: Guide teams to interpret and act on data, write clear documentation, and lead by example in driving evidence-based decisions Drive scientific decision-making: Use experimentation data, forecasting, and predictive analysis to inform forward-looking product and business strategy We’d Love to Hear From You If You... Have 4–8 years of experience: You’ve owned analytics for a business function or product area, ideally at a fast-paced, high-growth company Bring deep domain expertise in analytics engineering: You write clean, performant SQL, have hands-on experience with tools like dbt, Fivetran, and Metabase or Looker, and have a strong grasp of the fundamentals of data modeling, ETLs, and infrastructure Are curious, strategic, and outcome-oriented: You proactively shape the right questions, translate complex data into clear, actionable insights, and balance speed with depth to drive clear, high-impact decisions across the busine ... (truncated, view full listing at source)