WHOOP

Senior Manager, Analytics Platform

WHOOP$210K — $245K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in analytics/data engineering with 2 years in people management.
  • Expertise in SQL, dbt, and Snowflake; skilled in dimensional modeling.
  • Proven track record of building and managing high-performing data teams.
  • Hands-on experience with modern data stack tools (dbt, Snowflake, Python).
  • Ability to translate business needs into data architecture and decisions.
  • Experience delivering impactful, large-scale data initiatives.
  • Strong communication skills, especially with senior leadership.

Responsibilities

  • Own WHOOP's analytics data model, ensuring it answers key business questions.
  • Hire, manage, and develop a team of Analytics Engineers to drive performance.
  • Act as a bridge between Analytics and Data Platform Engineering regarding infrastructure.
  • Maintain consistency and accuracy of metrics across WHOOP's semantic layer.
  • Define coding standards and development processes for the analytics team.
  • Lead cross-functional strategic data initiatives from planning to execution.
  • Stay updated on industry trends and assess new technologies for team improvement.
  • Collaborate with leadership to design and communicate the data strategy.

Benefits

  • Competitive base salary and meaningful equity package.
  • Focus on building a diverse and inclusive workplace.
  • Encouragement to apply even if all qualifications aren't met.
Full Job Description
We are looking for a Senior Manager, Analytics Platform to lead and scale our Analytics Platform team. In this role, you will own WHOOP's analytics tooling stack - building a strong foundation of reliable, well-modeled data that powers decisions across the organization. You will serve as the connective tissue between our Analytics and Data Platform Engineering teams, ensuring alignment on architecture, tooling, and data availability. As a leader, you will hire and develop a high-performing team while staying close to the technical work and driving adoption of modern data practices including semantic modeling and AI-ready data infrastructure.

RESPONSIBILITIES:

  • Own the WHOOP Analytics data model end-to-end, partnering with analysts and business stakeholders to ensure data is modeled to answer key business questions and serve as a single source of truth.
  • Hire, manage, coach, and develop a team of Analytics Engineers, driving high performance, career growth, and a culture of technical excellence.
  • Serve as the primary conduit between Analytics and Data Platform Engineering, aligning on shared infrastructure, data contracts, and pipeline architecture.
  • Own and evolve WHOOP's semantic layer, ensuring consistency and accuracy of key metrics across all downstream tools and consumers.
  • Define and enforce coding standards, documentation practices, and development processes (CI/CD, code reviews, testing requirements, data quality monitoring). • Lead strategic data initiatives spanning multiple teams and business outcomes, from scoping through execution.
  • Maintain strong knowledge of industry trends and tooling developments; evaluate and introduce technologies that improve team leverage - including AI-assisted development and data tooling.
  • Partner with Analytics leadership and cross-functional teams to build and evolve the data strategy at WHOOP.
  • Interface with senior leadership to design, plan, and communicate data strategy and roadmap.


QUALIFICATIONS:

  • 7+ years of experience in analytics engineering, data engineering, or a related field, with at least 2 years of people management experience.
  • Deep expertise in SQL, dbt, and Snowflake; strong understanding of dimensional modeling and data warehouse design patterns.
  • Experience building and leading high-performing data teams, including hiring, mentoring, and setting technical direction.
  • Hands-on proficiency with modern data stack tooling (dbt, Snowflake, Sigma or similar BI tools, Git, Python).
  • Demonstrated ability to bridge technical and business stakeholders - translating business requirements into data architecture decisions and communicating trade-offs clearly.
  • Track record of owning and delivering large-scale data initiatives with measurable business outcomes.
  • Excellent communication and stakeholder management skills, particularly in interfacing with senior leadership.

NICE TO HAVE
  • Experience implementing or managing a semantic layer (e.g., Snowflake Semantic Views, dbt Semantic Layer, etc.).
  • Familiarity with AI/ML data readiness, including building data foundations that support analytics automation and LLM-powered tooling.
  • Experience in subscription/DTC commerce, health/wellness, or consumer hardware.
  • Background in data governance, data contracts, or metrics layer standardization.


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 $210,000 - $245,000. 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.

About WHOOP

WHOOP is a wearable technology company that specializes in fitness tracking. The company was founded in 2012 and is based in Boston, Massachusetts. WHOOP's flagship product is a wristband that tracks various metrics related to fitness and health, such as heart rate variability, sleep quality, and recovery time. The company also offers a subscription service that provides personalized insights and recommendations based on the data collected by the wristband. WHOOP has raised over $200 million in funding and has partnerships with several professional sports leagues and teams.
Learn more about WHOOP
Size
500 employees
Industry
Founded
2011

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