Analytics Engineer

About Stepful:

At Stepful, we’re on a mission to reimagine allied healthcare training by providing affordable, online, instructor-led and AI-enabled education to help learners - especially from underserved communities - launch high-demand healthcare careers on their own terms. In addition to our direct-to-consumer training model, Stepful partners with healthcare institutions to build talent pipelines and career pathways in an effort to mitigate the increasing allied health employee shortage. Our graduates - inclusive of Medical Assistants, Pharmacy Technicians and more - go on to work for leading institutions such as CVS, NY-Presbyterian and Walgreens.

Stepful is backed by Y Combinator, Reach Capital and AlleyCorp, and we recently closed a $31.5M Series B round led by Oak HC/FT. Additionally, TIME named Stepful the #1 EdTech company in the U.S. for 2025.

Stepful unlocks the full potential of the global workforce, improving access to quality healthcare for everyone, everywhere.

Our values:

At Stepful, we attribute much of our success to the high caliber of our team. To that end, we seek to onboard mission-driven individuals who thrive in a fast-paced environment, don’t shy away from ambiguity and demonstrate our four company values:

• Care first: We do whatever it takes for our students to succeed.

• Learn quickly: We test, learn with data, and iterate.

• Build together: We win when we rely on each other.

• Own it: We show up, take initiative, and show pride.

What you can expect to be working on:

• Analytics Infrastructure : Transform raw data into clean, well-documented data models that power business intelligence across Stepful. Partner with Engineering to land data in our warehouse reliably. Build the semantic layer that makes complex data simple and accessible for all stakeholders.

• Self-Service Analytics : Partner with analysts and business teams to democratize data access through our BI tools. Create intuitive dashboards and establish standards that empower teams to answer their own questions.

• Data Quality : Ensure data quality by proactively identifying and resolving issues before they impact decisions.

You will be successful if you:

• Care first : We do everything it takes for our students to succeed

• Learn quickly : We test, learn with data, and iterate

• Build together : We win when we rely on each other

• Own it : We show up, we take initiative, and pride

This job is for you if you have:

• 5+ years of experience using data to solve business problems (e.g., as an Analyst, Analytics Engineer).

• 2+ years of hands-on experience with dbt or a production programming language (e.g., as an Analytics or Software Engineer).

• Expert SQL skills and a deep understanding of data modeling best practices.

• Strong track record of building reusable, well-documented, and scalable data models.

• Experience with cloud data warehouses (BigQuery, Redshift, Snowflake, etc.) and BI tools (Preset, Superset, or similar).

• Ability to collaborate across teams, translating business requirements into robust technical solutions.

Bonus points if:

• You have experience with Fivetran or similar modern data stack tools

• You have Python skills for data processing and automation

• You've implemented data observability, reliability and cost optimization strategies

• You have experience in EdTech, HealthTech, or mission-driven organizations

• You've worked with customer data platforms (Segment) and marketing automation tools (HubSpot, Customer.io)

Interview Process:

1. Intro Call with TA

2. Interview with Hiring Manager

3. Take Home Project

4. Onsite

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:

The target base salary range for this opportunity is $140,000 - $180,000 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, internal pay equity and other relevant business considerations.

At Stepful, we're an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.