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.
New York, NY
Live, first seen by us 36 days agoWe're scaling quickly, and data is a critical lever to growing our business and improving patient outcomes.
This role combines analytics engineering, business insights, and people management to support domains ranging from supply and demand to marketing, and operations.
Lead, plan and develop a team of analytics engineers
Define and deliver the analytics roadmap across modeling and BI
Lead analyses of ambiguous problems and advise leadership
Validate and optimize data pipelines with Engineering
Guide teams to act on data and write clear documentation
We're scaling quickly, and data is a critical lever to growing our business and improving patient outcomes. As Manager, Analytics Engineering you'll lead the strategy and execution of a team of analytics engineers working across a multitude of domains, partner with leadership on critical business questions, and drive the vision for the future of Analytics at Nourish.
This role combines analytics engineering, business insights, and people management to support domains ranging from supply and demand to marketing, and operations. You'll work closely with Operations, Engineering, and Product to build reliable data foundations and help teams answer their most important questions. You'll define and execute Nourish's analytics roadmap alongside other Data leads.
Lead and develop a team of Analytics Engineers
Define and deliver the analytics roadmap
lead analyses of ambiguous problems; proactively identify opportunities; partner with leadership
Partner with Engineering to validate and optimize pipelines
Guide teams to interpret and act on data, write clear documentation
Have 5+ years of relevant experience owning analytics end to end
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
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$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.
Day 36
Similar jobs usually come down between day 6 and day 48.
From 1,462 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Are an unstoppable problem-solver taking complex and highly ambiguous asks and turning them into structured and thoughtful roadmaps to be rolled out to a lean team. - 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
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New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
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.
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.
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.
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.
We're scaling quickly, and data is a critical lever to growing our business and improving patient outcomes. As Manager, Analytics Engineering you'll lead the strategy and execution of a team of analytics engineers working across a multitude of domains, partner with leadership on critical business questions, and drive the vision for the future of Analytics at Nourish.
This role combines analytics engineering, business insights, and people management to support domains ranging from supply and demand to marketing, and operations. You'll work closely with Operations, Engineering, and Product to build reliable data foundations and help teams answer their most important questions. You'll define and execute Nourish's analytics roadmap alongside other Data leads.
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.
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New York, NY
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