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Business Analytics Manager (Lifecycle Marketing) at WHOOP

Business Analytics Manager (Lifecycle Marketing)
WHOOP
On-site
Boston, MA
Full-time
Salary not listed
Posted 4 February 2026
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Job Description

RESPONSIBILITIES:

  • Partner with Lifecycle Marketing leadership to define who we communicate with, what we say, and when we say it across the member lifecycle to drive retention, engagement, and monetization.
  • Build frameworks that connect lifecycle marketing efforts to measurable business outcomes and inform strategic decision-making.
  • Evolve and scale existing testing frameworks, bringing greater structure, consistency, and strategic focus to experimentation.
  • Leverage emerging AI capabilities to improve targeting, personalization, and insight generation - while ensuring outputs remain grounded in rigorous measurement and business impact.
  • Establish effective ways of working between Analytics and Lifecycle Marketing to ensure efficient, high-quality output.
  • Be a thought partner to senior leadership, bringing clarity and structure to complex, ambiguous problems.
  • Lead and develop analysts, setting a high bar for analytical quality, rigor, and business impact.
  • Foster a culture of continuous improvement by pushing the team to think more strategically, move faster, and leverage new tools to elevate impact.

QUALIFICATIONS:

  • 6+ years of experience in Lifecycle Marketing Analytics, Growth Analytics, Product Analytics, or a similar role within a subscription, DTC, or consumer tech business.
  • Strong intuition for customer behavior and lifecycle dynamics; experience working on engagement, retention, or CRM/lifecycle marketing problems preferred.
  • Demonstrated ability to design and interpret experiments (A/B testing, causal inference) and translate results into business decisions.
  • Proven track record of influencing strategy through data and partnering with cross-functional stakeholders.
  • Strong analytical and problem-solving skills; ability to structure ambiguous problems into clear frameworks.
  • Advanced SQL proficiency required; experience with tools like Snowflake, dbt, or similar data environments preferred.
  • Strong communication skills and executive presence; able to clearly articulate insights and recommendations.
  • Player-coach mindset—comfortable both setting strategy and diving into the details.

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