Data Lead: Scale Data Platform & Insights

Stepful; New York (NY); Hybrid; USD 180,000 - 210,000; Full time

Benefits offered by this job

Equity stake

Health insurance

Dental & Vision

401(k)

FSA/HSA

Open vacation policy

PTO 15 days

WFH days

Job summary

Stepful, a NYC-based EdTech healthcare training company, is hiring a Data Lead to own the data function—pipelines, warehouse, transformation, and BI tooling. You will lead a team of three data analysts and engineers while staying hands-on with SQL and Python; you’ll ship analyses and build dashboards to enable data‑driven decisions across student outcomes and growth.

Reporting to SVP Engineering, this hybrid role requires three in‑office days per week in NYC.

Qualifications

• 7+ years of data experience across analytics and data engineering.

Responsibilities

• Lead and mentor a team of three data analysts and engineers
• Own 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

Skills

Team leadership

SQL

Python

Data modeling

Experiment design

Communication

Business sense

Industry knowledge

Tools

dbt

Snowflake

BigQuery

Airflow

Looker

Metabase

Job description

Stepful, a NYC-based EdTech healthcare training company, is hiring a Data Lead to own the data function—pipelines, warehouse, transformation, and BI tooling. You will lead a team of three data analysts and engineers while staying hands-on with SQL and Python; you’ll ship analyses and build dashboards to enable data‑driven decisions across student outcomes and growth.

Reporting to SVP Engineering, this hybrid role requires three in‑office days per week in NYC.