Whoop - Business Analytics Manager (Lifecycle Marketing)
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Requirements
• 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. • This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. • 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.
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.
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