Analytics Engineer II

Sorry, this job was removed at 10:24 p.m. (UTC) on Friday, Jul 24, 2026
Easy Apply
Boston, MA, USA
Hybrid
Mid level
Fitness • Hardware • Healthtech • Sports • Wearables
Power your performance with 24/7 data
The Role
Build and maintain scalable dbt models in Snowflake, implement data quality tests and documentation, collaborate with Analytics and Data Engineering on ingestion and warehouse optimization, support data governance and apply software engineering best practices to analytics code.
Summary Generated by Built In

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. 

We are hiring an Analytics Engineer II to join our Analytics Engineering team. This role will focus on building and maintaining scalable, well-tested data models in dbt that power analytics and reporting across the company. You will work closely with Analytics and Data Engineering to expand and improve WHOOP's data infrastructure as we scale — executing on architectural initiatives set by senior team members while developing deep expertise in our data platform.

RESPONSIBILITIES:

  • Develop, optimize, and maintain dbt models across WHOOP's Snowflake data warehouse, following established patterns and coding standards. 
  • Execute on database restructuring initiatives — migrating domain-specific schemas into purpose-built databases to improve data governance and role-based access control. ● Implement and maintain data quality tests and documentation within dbt, ensuring models are reliable, well-documented, and discoverable. 
  • Partner with Analytics teams to understand data requirements and translate them into performant, accurate transformation logic. 
  • Collaborate with Data Engineering on data ingestion improvements, source freshness monitoring, and warehouse optimization. 
  • Support the team's data governance goals, including maintaining consistent naming conventions, enforcing data contracts, and managing database roles and grants. ● Apply software engineering best practices to analytics code, including version control (Git), code review, testing, and continuous integration. 
  • Build domain expertise in assigned business areas, becoming the technical point of contact for data models and workflows in those domains.

QUALIFICATIONS:

  • 2-4 years of experience in analytics engineering, data engineering, or business intelligence with hands-on dbt experience. 
  • Strong SQL skills, particularly within Snowflake or comparable cloud data warehouses. 
  • Experience with dbt in a production environment — building models, writing tests, maintaining documentation, and working across multiple environments. 
  • Working knowledge of Git and version control workflows (branching, pull requests, code review). 
  • Familiarity with dimensional data modeling concepts and schema design best practices. 
  • Detail-oriented with the ability to follow established patterns and execute on well-defined technical plans.
  • NICE TO HAVE 

  • Experience with Snowflake-specific features 
  • Familiarity with BI tools such as Sigma. 
  • Knowledge of Python for data transformation or automation tasks. 
  • Experience with CI/CD pipelines for dbt (e.g., CircleCI, GitHub Actions, dbt Cloud).
  • Prior exposure to subscription/SaaS business models or consumer health/fitness data.

Skills Required

  • 2-4 years of analytics engineering, data engineering, or business intelligence with hands-on dbt experience.
  • Strong SQL skills, particularly within Snowflake or comparable cloud data warehouses.
  • Experience with dbt in a production environment: building models, writing tests, maintaining documentation, and working across multiple environments.
  • Working knowledge of Git and version control workflows (branching, pull requests, code review).
  • Familiarity with dimensional data modeling concepts and schema design best practices.
  • Detail-oriented with the ability to follow established patterns and execute on well-defined technical plans.
  • Experience with Snowflake-specific features.
  • Familiarity with BI tools such as Sigma.
  • Knowledge of Python for data transformation or automation tasks.
  • Experience with CI/CD pipelines for dbt (e.g., CircleCI, GitHub Actions, dbt Cloud).
  • Prior exposure to subscription/SaaS business models or consumer health/fitness data.

What the Team is Saying

Josh
Manan Dedhia
Anahis

WHOOP Compensation & Benefits Highlights

  • Parental & Family Support Paid parental leave is listed at 18 weeks with an additional 2‑week transition period, signaling strong support for new parents. This depth stands out relative to typical packages highlighted in the materials.
  • Wellbeing & Lifestyle Benefits Medical, dental, and vision coverage are paired with a $500 annual wellness stipend, a free WHOOP membership plus one to gift, daily meals at the Boston HQ, and access to a gym and recovery tools. These health‑aligned perks reinforce a recovery‑first total rewards philosophy.
  • Equity Value & Accessibility Roles are described as eligible for stock options alongside salary, indicating accessible ownership as part of total rewards. This equity component is consistently highlighted in company materials and third‑party summaries.

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The Company
HQ: Boston, MA
500 Employees
Year Founded: 2012

What We Do

At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.

Why Work With Us

At WHOOP, we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.


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WHOOP Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 4 days a week
HQBoston, MA
Limerick, Limerick, V94 4D83 Ireland
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