Senior Marketing Analyst (Contract)
StravaRemote CAPosted 4 April 2026
Job Description
Senior Marketing Analyst (Contract)
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 https://www.strava.com/subscription 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.
We are hiring a Senior Marketing Analyst (Contract) to be a key member of the Marketing Analytics team. The team is focused on measuring paid and organic marketing performance and impact to Brand Awareness, MAU, Registration and Subscription growth. You will collaborate with Brand Marketing, Growth Marketing, Community Partnership Team, Design and leadership to accelerate learning, make data-informed decisions, and define data-inspired solutions to fuel the growth of Strava’s platform.
This role reports to an Analytics Manager and partners tightly with cross-functional stakeholders throughout the company. The role has high visibility, and is an exciting opportunity for someone enthusiastic about delivering the wow to a company hungry for actionable data insights!
This position is fully remote or hybrid, depending on your location. Those near our San Francisco or New York offices work on-site three days per week.
ABOUT THIS ROLE
- Support brand media measurement planning and strategy, ensuring investments align directly with Stava’s brand marketing OKRs.
- Work closely with Brand Marketing, Data Science and external agencies to attribute investment (i.e. including modeling (MMM), incrementality testing, and advanced attribution techniques.)
- Gather requirements from various cross-functional partners regarding specific self-service use cases that would complement their workflows.
- Provide the “source of truth” for internal consumers by owning critical analytical reporting on metrics like aided brand awareness, familiarity, and consideration.
- Create and manage data pipelines from multiple sources, balancing performance and scalability to keep data accessible, fresh, and consistent.
- Deliver persuasive and data-driven media performance reviews, audience insights, and strategic recommendations to internal stakeholders and marketing leadership (Weekly and Monthly Business Reviews, OKR reviews, and more).
WHAT YOU’LL DO
- You have a track record of defining and building the key metrics and dimensions that accurately reflect user behavior and drive meaningful marketing decisions.
- You have experience with performance measurement across paid channels, including TikTok, Meta, Reddit, and similar platforms.
- You are highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.
- You are experienced with Tableau and proficient in quantitative programming languages like Python.
- You bring deep technical expertise in brand measurement methodologies, including Marketing Mix Modeling (MMM), lift studies, and experimental design.
- You take high ownership of your work and drive outcomes with both confidence and humility.
- You're a strong communicator who can craft compelling narratives and make complex data accessible to non-technical audiences.
- You consistently meet goals, keep projects on pace, and follow through on your commitments.
- You are able to spot things in our data that others have overlooked, and are comfortable making recommendations that will help the broader team improve our self-service capabilities and ways of working.
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, meaning ... (truncated, view full listing at source)
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