Lead Marketing Analyst, Growth Marketing

Strava

Lead Marketing Analyst for Strava managing retention and product marketing analytics. Collaborate cross-functionally to define metrics, build frameworks, and translate data into actionable insights.

Posted 6/6/2026full-timeSan Francisco • California, New York • 🇺🇸 United StatesSenior💰 $205,000 - $227,000 per yearWebsite

Tech Stack

Tools & technologies

ETLPythonSQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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. Ability to design, analyze, and synthesize experiment results clearly to both technical and non-technical stakeholders.
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).

Benefits

Comp & perks

For information on benefits, please click here.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

analyticsdata scienceretention analyticslifecycle analyticsSQLETL workflowsPythonA/B testingcohort analysisLTV modeling

Soft Skills

strategic recommendationscollaborationcommunicationdata synthesiscross-functional teamwork