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Data Lead

Stepful
Hybrid (408 Broadway, Floor 5, New York, New York, United States) Full Time USD 180,000 - 225,000 p.a. Sep 18, 2026

About the Job

Layering onto our successful direct-to-consumer training, Stepful partners with leading healthcare institutions to address the growing national shortage of healthcare workers. We’re improving access to quality healthcare for everyone, everywhere, and improving access to healthcare career ladders for those who need t...

Our students form the talent pipelines for major employers such as NY-Presbyterian, Mt. Sinai, HCA, Providence, CVS, and Walgreens. We have partnerships with half of the top 10 health systems in the US and are in process with many more.

Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $55M Series C led by Oak HC/FT. We were named the #1 EdTech company in the U.S. by TIME for 2025.

Key Responsibilities

Lead, mentor, and grow a team of three data analysts and engineers, setting the standard for rigor and craft
Own Stepful's data platform end to end — pipelines, warehouse, transformation layer, and BI tooling — and its reliability and scalability
Define and maintain the company's core metrics across the student journey (enrollment, engagement, completion, certification, placement) and business performance (CAC, LTV, retention)
Build dashboards and self-serve analytics that put trustworthy data in every team's hands
Partner with Growth and Product on experimentation — design, instrumentation, and analysis of A/B tests
Deliver deep-dive analyses that shape strategic decisions, from program design to budget allocation
Stay hands-on: write production SQL and Python, review your team's work, and take on the hardest technical problems yourself
Establish data governance and quality practices that scale with the company

Required Skills & Abilities

7+ years of data experience across analytics and data engineering, with at least 2+ years managing a team
Proven success as a player-coach — you set direction and manage people while still shipping your own work
Expert-level SQL and strong Python, with hands-on experience across the modern data stack (e.g., dbt, Snowflake/BigQuery, Airflow, Looker/Metabase)
Strong product and business sense — you connect data work to outcomes, not just deliverables
Experience designing and analyzing experiments in a high-growth environment
Exceptional communication skills with the ability to make complex findings clear to non-technical stakeholders
You've built or scaled a data function at an early or growth-stage startup
You've worked with marketing attribution or funnel analytics at scale
You've worked in EdTech, healthcare, or another mission-driven industry
Introductory call with Talent Acquisition team member
Interview with Hiring Manager
Take-Home Assignment and Presentation
On-Site Panel Interview

Apply now

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