Lead Marketing Analyst, Growth Marketing

Responsibilities

• Own the analytics strategy for retention marketing and product marketing, including defining KPIs, building measurement frameworks, and translating outputs into actionable recommendations for key stakeholders.
• Partner with product and lifecycle marketers to design and evaluate A/B tests and experiments across email, push, and in-app channels, ensuring rigorous incrementality measurement.
• Build and maintain dashboards and reporting infrastructure that give marketing and product teams a clear, real-time view of retention health and campaign performance.
• Develop deep behavioral insights into how different user segments activate, retain, and churn, using cohort analysis, LTV modeling, and churn prediction to surface at-risk users and high-value audiences before they're lost.
• Collaborate with Growth Marketing and Finance on planning, forecasting, and performance tracking, and support translation of company OKRs into Growth Marketing team priorities.
• Work cross-functionally with Product and Product Analytics to align on shared metrics, improve data instrumentation, and surface insights that inform both marketing and product roadmaps.
• What You'll Bring to the Team:
• 5+ years of experience in analytics, data science, or a quantitative domain supporting growth marketing, with demonstrated ownership of retention, lifecycle, or user retention analytics.
• Fluency in subscription or consumer app metrics - Churn, LTV, DAU/MAU, Day 1/7/30 retention, and an understanding of how they connect to business outcomes.
• Strong SQL proficiency and experience designing ETL workflows that balance performance and scalability, with comfort across BI and visualization tools (e.g., Looker, Tableau, Omni).
• Proficiency in Python and a consistent drive to improve processes and tools that deliver better results.
• A proven ability to translate complex analytical findings into clear strategic recommendations for marketing, product, and finance stakeholders.
• Experience with marketing measurement (MMM, MTA) or attribution platforms is a plus (e.g., Amplitude, Branch, AppsFlyer, or similar).
• For information on benefits, please click here .
• Why Join Us?
• Movement brings us together. At Strava, we're building the world's largest community of active people, helping them stay motivated and achieve their goals.
• Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you're shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.
• When you join Strava, you're not just joining a company-you're joining a movement. If you're ready to bring your energy, ideas, and drive, let's build something incredible together.

Benefits

Additional Information

About Strava Strava is the app for active people. With over 180 million athletes in more than 185 countries, it's more than tracking workouts-it's where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava's got you covered. Find your crew, crush your goals, and make every effort count. Start your journey with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. About This Role The Marketing Analytics team powers the decisions that drive Strava's user growth and retention. We sit at the intersection of data and strategy, partnering across marketing, product, and finance to accelerate learning, make data-informed decisions, and define data-inspired solutions to fuel the growth of Strava's platform. In this role, you will be the analytics lead for Strava's retention and product marketing functions, bringing rigor and strategic insight to lifecycle campaigns, user engagement, user retention and marketing-led initiatives. You'll work closely with lifecycle marketers, growth marketing, product marketing, and finance teams to define the right metrics, build measurement frameworks, and translate data into decisions that impact how millions of athletes experience Strava. We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco or New York office - three days per week.

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