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Analytics Engineer II

Remote Posted Jul 24, 2026 0 views

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Job description

WHOOPJobs
Analytics Engineer II

Analytics Engineer II

Reposted 2 Hours Ago
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 SupportParental leave is described as generous with an additional transition period to support return-to-work. Feedback suggests this policy stands out within the overall package.
  • Wellbeing & Lifestyle BenefitsWellness stipends free WHOOP memberships (including a giftable one) a sleep-performance cash incentive daily meals and access to onsite gym and recovery tools create a lifestyle-oriented offering. Feedback suggests these perks meaningfully enhance the total rewards experience beyond base pay.
  • Equity Value & AccessibilityEquity participation and stock option eligibility are highlighted and ownership is portrayed as rewarding as the company grows. Feedback suggests this sense of ownership positively influences perceptions of compensation.

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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
Learn more

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