At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives.
We are hiring a Senior Analyst to partner closely with our Hardware Product team, supporting both the broader hardware and connectivity teams, in their efforts to utilize data and insights to make informed decisions and continuously improve hardware features for both sustaining and future generations.
We are looking for an individual who can be fluent in data, driven by product thinking and is looking to deeply understand and tackle complex analytics challenges.
This person should feel empowered to foster their own curiosity and raise support for ideas that meaningfully impact the WHOOP member experience.
RESPONSIBILITIES :
- Partner with key stakeholders across the Hardware Product team, as well as additional cross functional partners in Strategic Finance, Quality, Membership Services and Data Engineering, to drive iterative testing, quantify impact for key member touchpoints, and identify new sources of value for our members.
- Discuss how our members are using WHOOP devices through data-driven analysis with a combination of KPI reporting, ad-hoc analyses, and proactive insight generation, communicating to appropriate stakeholders including leadership.
- Generate and drive the strategic analytic roadmap to unlock insights about our members and how they are using the product and guide our product team with action-oriented recommendations.
- Build scalable processes, proactively identifying and implementing methods to benefit the analytics team as well as key stakeholders to enable data-driven decision-making.
- Collaborate with a high-performance team in a start-up environment, providing thought leadership to identify the most impactful ways to drive decisions and improve retention.
QUALIFICATIONS :
- 3+ years of experience in a deeply strategic / analytical role, including partnership with product or engineering teams.
- Able to take broad business questions, wrangle appropriate data, quickly isolate and model key insights, visualize results and communicate actionable recommendations.
- Strong storytelling skills able to create compelling and concise presentations that convey actionable solutions to complex, ambiguous problems.
- Demonstrated success in influencing senior stakeholders and leadership on strategic direction based on analytical recommendations.
- Experience working with data engineering and development teams on complex datasets
- Advanced skills in SQL and general understanding of ELT (dbt) and data warehousing (Snowflake) structures, as well as data visualization (eg.
Looker, Tableau, Hex)
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