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Analytics Engineering Lead

Pay
Pay not listedSimilar roles state $122K–$190K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting

We're scaling quickly, and data is a critical lever to unlock growth and improve patient outcomes.

This role blends analytics engineering and strategic insights.

  • Own the full analytics workflow from raw data to models, dashboards and insights

  • Lead analyses that uncover growth and efficiency levers with business stakeholders

  • Design dashboards that help stakeholders make fast decisions

  • Validate and optimize data pipelines with Engineering for a single source of truth

  • Guide teams to interpret data and write clear documentation

From the employer’s posting
We're scaling quickly, and data is a critical lever to unlock growth and improve patient outcomes. As our Analytics Engineering Lead, you'll drive the strategy for a specific business function. You'll collaborate with stakeholders to design and execute Nourish's growth roadmap, and identify how to scale more efficiently.
This role blends analytics engineering and strategic insights. You'll be responsible for building clean, scalable data models, and surfacing clear, actionable insights. As an early hire on the Data team at Nourish, you'll help define our long-term vision for data and collaborate closely with our Operations, Engineering, and Product teams.
Own the full analytics stack for a business-critical function:
Partner with business stakeholders to proactively identify and lead analyses that uncover growth and efficiency levers
Design intuitive dashboards for a broad range of stakeholders that deliver clarity and enable fast decision-making.
Partner with Engineering to validate and optimize pipelines, ensuring our data infrastructure is accurate, scalable, and supports a trusted single source of truth.
Guide teams to interpret and act on data, write clear documentation

What you’ll bring

All qualifications

Core experience

  • 5+ years owning analytics end to end at a fast-paced, high-growth company
  • Deep analytics engineering expertise, including clean, performant SQL
Qualification wording
Have 5+ years of relevant experience owning analytics end to end at a fast-paced, high-growth company.
Have deep domain expertise in analytics engineering: You write clean, performant SQL

About Nourish

Our mission is to improve people’s health by making it easy to live a healthy lifestyle.

In the employer’s words · Read in context

Apply at Nourish

Posting record

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Status in our records
Live
First seen by us
Sep 22, 202645 days ago
Recorded sightings
39
Last seen by us
Nov 6, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$122K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 321 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 45

Similar jobs usually come down between day 6 and day 48.

From 1,471 similar postings that came down. Coming down is not always a hire.

Nourish is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • 25% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • dbt
  • Fivetran
Where the posting names them
- Have 5+ years of relevant experience owning analytics end to end at a fast-paced, high-growth company. - Have deep domain expertise in analytics engineering: You write clean, performant SQL, have hands-on experience with tools like dbt and Fivetran, 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 business

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

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Already applied? Track this application

Demand for Analytics Engineer roles

New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.

Weekly new Analytics Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 96, the most 174, and the latest week had 96.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

About us

Health is the most important thing in life, and the American healthcare system is completely broken - poor outcomes, high cost, bad patient experience. We're building a new system from the ground up.

Our mission is to improve people’s health by making it easy to live a healthy lifestyle.

Nourish is the country's largest dietitian-led metabolic health clinic. We’re an AI-native digital health system matching patients with 10,000+ Registered Dietitians, physicians, medications, lab testing, and AI agents to deliver insurance-covered care across all 50 states. Founded four years ago, we've completed millions of appointments, tripled year-over-year, and partnered with health plans covering 200M+ Americans across 250+ health systems.

In 2026 we raised a $100M Series C, bringing total funding to $215M. The round was led by Menlo Ventures, with participation from Thrive Capital, Index Ventures, J.P. Morgan Growth Equity Partners, Maverick Ventures, Y Combinator, BoxGroup, Atomico, Daybreak, and Operator Partners.

Learn more about our Series C here: Nourish Blog, Bloomberg, Fierce Healthcare, Digital Native, The Pulse Podcast.

This is not a job for everyone. We hold an extremely high bar because we believe talent density is our biggest competitive advantage. We're looking for people who actively choose hard, ambiguous problems, who run toward unglamorous work, give and receive candid feedback, and bring relentless resilience without the ego. Our work is important, but we are not self-important. We do this because we’re solving one of the hardest problems in the world, and the problem matters. If that's you, we disproportionately reward it.

About the Role

We're scaling quickly, and data is a critical lever to unlock growth and improve patient outcomes. As our Analytics Engineering Lead, you'll drive the strategy for a specific business function. You'll collaborate with stakeholders to design and execute Nourish's growth roadmap, and identify how to scale more efficiently.

This role blends analytics engineering and strategic insights. You'll be responsible for building clean, scalable data models, and surfacing clear, actionable insights. As an early hire on the Data team at Nourish, you'll help define our long-term vision for data and collaborate closely with our Operations, Engineering, and Product teams.

Our Data team is based in NYC and goes into the office 2-3 days a week. While this isn't a strict requirement, we are 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 with business stakeholders to proactively identify and lead analyses that uncover growth and efficiency levers, and shape team priorities.
  • 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.

We'd Love to Hear From You If You...

  • Have 5+ years of relevant experience owning analytics end to end at a fast-paced, high-growth company.
  • Have deep domain expertise in analytics engineering: You write clean, performant SQL, have hands-on experience with tools like dbt and Fivetran, 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 business
  • Are a builder who thrives on ownership and impact: You take pride in designing clean, scalable systems from scratch, and are excited to take end-to-end ownership - filling gaps, creating structure, and becoming the go-to person others rely on for clarity.
  • Communicate complex ideas with clarity: You distill deep analysis into crisp, actionable takeaways, whether writing a Notion doc or presenting to leadership, and you earn trust across cross-functional teams by speaking the language of both operations and engineering
  • Are motivated by impact and mission: You believe in the power of food as medicine to transform healthcare and are excited to improve lives at scale by contributing to Nourish’s mission.

More information

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New York, NY

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