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Stepful

Data Lead

Stepful

Data Lead at Stepful guiding analytics and insights work. Leading team and developing reliable data solutions.

Posted 7/15/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $180,000 - $210,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics and engineering, with a strong focus on team leadership, data governance, and the ability to connect data insights to business outcomes. Proficient in SQL and Python, with hands-on experience in modern data stack tools and methodologies.

Highest-signal resume keywords
Expert-Level SQLStrong PythonData GovernanceTeam ManagementA/B Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalyticsData EngineeringSQLPythonDashboard BuildingData TransformationExperiment DesignData Quality PracticesBusiness Metrics AnalysisStatistical Analysis
Soft Skills
Exceptional CommunicationMentoringCollaborationProblem-SolvingLeadership
Tools & Technologies
DbtSnowflakeBigQueryAirflowLookerMetabase
Industry Keywords
Data PlatformCore MetricsStudent JourneyBusiness PerformanceHigh-Growth Environment

Tech Stack

Tools & technologies
AirflowBigQueryPythonSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • 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
  • Stepful closed the last week of December
  • 15 work-from-anywhere days
  • 10 public holidays observed for 2026