Lead Marketing Analyst, Growth Marketing

About the role

This role owns the analytical strategy that powers Strava's retention and product marketing decisions at scale. You will define measurement frameworks, translate complex data into actionable recommendations, and partner with cross-functional teams to accelerate learning. The position drives lifecycle campaigns and user engagement initiatives that shape how millions of athletes experience the platform. You will build behavioral insights that identify at-risk users and high-value audiences before churn occurs. The role ensures marketing efforts are grounded in rigorous incrementality measurement and data-inspired solutions. You will act as the analytics lead bridging finance, product, and growth marketing to align on shared objectives. This position operates within a flexible hybrid model requiring three days per week in San Francisco or New York.

Key facts

What you'll do

• 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.
• Design and execute measurement plans for new feature launches and marketing initiatives, ensuring data collection aligns with business objectives from day one.
• Synthesize analytical findings into clear narratives and strategic recommendations that guide resource allocation, targeting, and messaging for large-scale programs.
• Monitor competitive landscape and industry benchmarks to identify opportunities for differentiation in acquisition, engagement, and retention.
• Partner with Data Engineering to optimize data pipelines, ensuring reliability, scalability, and performance of analytics workflows.
• Establish testing playbooks and governance standards to maintain experiment integrity across channels and user segments.
• Lead stakeholder reviews of performance insights, translating technical metrics into decisions that drive product and marketing execution.

Requirements

• 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.
• Deep familiarity with experimentation methodology - including hypothesis testing, A/B testing, incrementality measurement, and global or program-level holdouts used to measure marketing initiatives.
• 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).
• Comfort working with large, complex datasets and a mindset focused on data quality, documentation, and reproducibility.
• Excellent communication skills, including the ability to present analytical results to both technical and non-technical audiences.
• Strong sense of ownership, accountability, and comfort operating in a fast-paced, ambiguous environment.

Nice to have

• Experience with marketing measurement (MMM, MTA) or attribution platforms such as Amplitude, Branch, AppsFlyer, or similar.

Practical notes

Strava offers competitive compensation and benefits. This role follows a flexible hybrid model requiring more than half of your time on-site in our San Francisco or New York office - three days per week.

Strava builds software that makes the best part of our athletes' days even better. Just as we're deeply committed to unlocking their potential, we're dedicated to providing a world-class, inclusive workplace.