Analytics Engineer

Stepful; New York (NY); On-site; USD 90,000 - 140,000; Full time

Job summary

Stepful is seeking a talented Analytics Engineer to enhance data modeling and analytics frameworks. In this role, you will work closely with engineering and business teams to ensure data quality, streamline accessibility, and develop impactful dashboards, ultimately improving educational outcomes for underrepresented communities.

Benefits

Competitive compensation and equity package

Impact educational outcomes for underrepresented communities

Collaborative environment shaping data strategy

Qualifications

• 5+ years of experience in analytics or related fields.
• Expert SQL skills and familiarity with cloud data warehouses.
• 2+ years experience with dbt or similar tools.

Responsibilities

• Transform raw data into clean, well-documented data models.
• Collaborate with analysts to democratize data access.
• Ensure data quality by identifying and resolving issues.

Skills

SQL

Data modeling

Data quality

Collaboration

Education

Bachelor's Degree in relevant field

Tools

dbt

BigQuery

Redshift

Snowflake

Job description

Join to apply for the Analytics Engineer role at Stepful

Join to apply for the Analytics Engineer role at Stepful

About Stepful: Stepful partners with healthcare institutions to build talent pipelines and career pathways. We are reimagining allied healthcare training with a digital-first environment for student cohorts that prepare job-ready graduates five times faster, at a fraction of the cost. Stepful graduates, primarily from underrepresented communities, go on to work at leading healthcare institutions. Stepful is backed by Y Combinator, Reach Capital and AlleyCorp and recently closed a round led by Oak HC/FT.

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)
  
  

What We Offer

• Opportunity to build the data foundation for a mission-driven company transforming healthcare education
• Direct impact on improving educational outcomes for underrepresented communities
• Collaborative environment where your expertise shapes our data strategy
• Competitive compensation and equity package
  
  

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Professional Training and Coaching

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