Lead Marketing Analyst (Growth Marketing)

Join Strava, the leading social network for athletes. As a Lead Marketing Analyst, you will drive user growth and retention through data-informed decisions and strategic insights. You will collaborate with various teams, define metrics, build measurement frameworks, and translate data into actionable recommendations. Enjoy a range of benefits, including 100% company-paid benefits, flexible paid time off, and a generous professional development stipend.

• Lead the analytics strategy for retention marketing and product marketing, including defining KPIs, building measurement frameworks, and translating outputs into actionable recommendations.
• Collaborate with lifecycle marketers, growth marketing, product marketing, and finance teams to define the right metrics, build measurement frameworks, and translate data into decisions.
• Design and evaluate A/B tests and experiments across email, push, and in-app channels, ensuring rigorous incrementality measurement.
• A proven ability to translate complex analytical findings into clear strategic recommendations for marketing, product, and finance stakeholders
• 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
• Experience with marketing measurement (MMM, MTA) or attribution platforms is a plus (e.g., Amplitude, Branch, AppsFlyer, or similar)
• 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
• Deep familiarity with experimentation methodology — including hypothesis testing, A/B testing, incrementality measurement, and global or program-level holdouts used to measure marketing initiatives. Ability to design, analyze, and synthesize experiment results clearly to both technical and non-technical stakeholders
• Proficiency in Python and a consistent drive to improve processes and tools that deliver better results
• 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)