Nourish

Analytics Engineering Lead

Nourish
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2 months ago

Responsibilities

  • Own the full marketing analytics stack from raw data through data models, dashboards, and insights.
  • Lead analyses that identify growth, efficiency, attribution, and channel optimization opportunities.
  • Design dashboards that enable stakeholders to make fast, informed decisions.
  • Partner with Engineering to validate and optimize data pipelines and maintain a scalable single source of truth.
  • Guide teams in interpreting data, documenting analyses, and applying evidence-based decision-making.
  • Help define Nourish’s long-term data vision as an early member of the Data team.

Requirements

  • 5+ years of relevant experience owning analytics end to end at a fast-paced, high-growth company.
  • Deep analytics engineering expertise, including clean and performant SQL, data modeling, ETLs, and data infrastructure fundamentals.
  • Hands-on experience with dbt and Fivetran.
  • Ability to translate complex data into clear, actionable insights and shape strategic questions.
  • Experience designing scalable systems from scratch and taking end-to-end ownership.
  • Strong written and verbal communication skills, including documentation and presenting to leadership.
  • Ability to collaborate effectively across Marketing, Operations, Engineering, Product, and other cross-functional teams.

Benefits

  • The Data team is based in New York City and typically works from the office 2–3 days per week, though this is not a strict requirement.

Tech Stack

dbtSQL

Categories

Data Engineering
Nourish

About Nourish

1,001-5,000 employees

Nourish provides insurance-covered virtual nutrition and metabolic health care, matching patients with registered dietitians, physicians, lab testing, medications, and AI assistants. The privately held company is headquartered in New York City and delivers care in all 50 states, with partnerships with health plans covering over 200 million Americans across 250+ health systems and millions of completed appointments. Its model combines telehealth visits and insurer reimbursement to manage chronic conditions through lifestyle change.

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