Data Lead

About the role

The Data Lead will own Stepful's data function, leading a team of three data analysts and engineers. They will define and maintain core metrics, build dashboards, and deliver deep-dive analyses that shape strategic decisions.

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)
• 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

Requirements

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

Qualifications

Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field

Experience with marketing attribution or funnel analytics at scale

Experience in EdTech, healthcare, or another mission-driven industry

Skills

• Expert-level SQL and strong Python
• Hands-on experience across the modern data stack (e.g., dbt, Snowflake/BigQuery, Airflow, Looker/Metabase)
• Strong product and business sense
• Experience designing and analyzing experiments in a high-growth environment
• Exceptional communication skills

Benefits and Compensation

• Meaningful Equity Stake
• Subsidized Medical, Dental, and Vision insurance plan options
• 401(k)
• FSA, HSA and commuter benefits
• Open vacation policy, including: Guidance of 15 days PTO annually
• 15 work-from-anywhere days
• 10 public holidays observed for 2026

The target base salary range for this opportunity is $180,000 - $210,000, and is part of a competitive total rewards package including equity and benefits.