Job description

Join us on our mission to empower founders and innovators to move faster, live better and access more. FoundersCard is a global membership community of over 250,000 entrepreneurs, executives, and innovators. Our members enjoy unparalleled access to elite travel perks, business benefits, and a curated network of like-minded leaders—all designed to accelerate their success. We’re entering an exciting new chapter of growth and innovation, and data is at the heart of it. We’re looking for a Lead Analyst, Member & Product Analytics, to join our growing team. This high-impact role will own the full analytics lifecycle from data exploration to strategic recommendations, and drive actionable insights that fuel our membership growth, retention, and engagement initiatives. This is a senior level individual contributor, with the potential to build and lead a team over time. What you'll do Own customer segmentation and behavioral analytics to uncover patterns, identify opportunities, and influence roadmap priorities across product, marketing, and member experience. Build audience models that inform personalized lifecycle marketing, retention campaigns, and upsell opportunities. Build and maintain predictive models (e.g., churn risk, LTV) to improve targeting, personalization, and lifecycle marketing effectiveness. Define, implement, and analyze A/B and multivariate tests across the member journey to inform product and growth decisions. Analyze member engagement trends and uncover drivers of churn, reactivation, and loyalty; develop strategies to improve retention and engagement. Develop and manage dashboards and reporting frameworks that provide real-time visibility into KPIs and core funnel metrics. Work cross-functionally to ensure reliable, accurate data sources and deliver insights that influence senior-level decision-making. Help shape our analytics culture and build foundational practices for a future analytics and data science team. What we're looking for 6–10+ years of analytics experience, ideally in a membership, subscription, or loyalty-driven business. Strong expertise in segmentation, LTV modeling, retention analysis, and growth experimentation. Advanced proficiency in SQL, product analytics, and data visualization tools (such as Looker). Familiarity with Python or R for predictive modeling is a strong plus. Strong statistical knowledge and experience with A/B testing and experimental design. Ability to work independently, prioritize projects, and thrive in a fast-paced, entrepreneurial environment. Confident communicator who can present insights and recommendations to senior leadership. Bonus: Experience building or managing analytics teams. What's In it for you A pivotal role in optimizing and improving a premium product experience for 250K+ members The opportunity to drive key business decisions through well informed data analysis A high-impact role in a lean, profitable, founder-led company with real momentum Opportunity to build a team as we scale Competitive compensation plus comprehensive benefits Free lunch and snacks in our Midtown NYC office every day

Requirements

Must-haves

Join us on our mission to empower founders and innovators to move faster, live better and access more.
Own customer segmentation and behavioral analytics to uncover patterns, identify opportunities, and influence roadmap priorities across product, marketing, and member experience.
Build audience models that inform personalized lifecycle marketing, retention campaigns, and upsell opportunities.
Build and maintain predictive models (e.g., churn risk, LTV) to improve targeting, personalization, and lifecycle marketing effectiveness.
Define, implement, and analyze A/B and multivariate tests across the member journey to inform product and growth decisions.
Analyze member engagement trends and uncover drivers of churn, reactivation, and loyalty; develop strategies to improve retention and engagement.
Develop and manage dashboards and reporting frameworks that provide real-time visibility into KPIs and core funnel metrics.
Work cross-functionally to ensure reliable, accurate data sources and deliver insights that influence senior-level decision-making.
Help shape our analytics culture and build foundational practices for a future analytics and data science team.
6–10+ years of analytics experience, ideally in a membership, subscription, or loyalty-driven business.
Strong expertise in segmentation, LTV modeling, retention analysis, and growth experimentation.
Advanced proficiency in SQL, product analytics, and data visualization tools (such as Looker).
Familiarity with Python or R for predictive modeling is a strong plus.
Strong statistical knowledge and experience with A/B testing and experimental design.
Ability to work independently, prioritize projects, and thrive in a fast-paced, entrepreneurial environment.
Confident communicator who can present insights and recommendations to senior leadership.

Nice-to-haves

Bonus: Experience building or managing analytics teams.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpython

Platform: lever
Effort: quick