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.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.
The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.
