Lead Marketing Analyst

Lead Marketing Analyst

We are hiring a Lead Marketing Analyst to be a key member of the Marketing Analytics team, focused on measuring paid and organic marketing performance and impact on brand awareness, monthly active users, registrations, and subscription growth. The role reports to the Marketing Analytics Manager and works closely with Brand Marketing, Growth Marketing, Community Partnership Team, Design, and leadership to accelerate learning, drive data‑informed decisions, and define data‑inspired solutions that fuel Strava’s platform growth.

We follow a flexible hybrid model that translates to more than half of your time on‑site in our New York office—three days per week.

• Own brand media measurement planning and strategy, ensuring investments align directly with Strava’s brand marketing OKRs—proactively identifying and proposing strategic improvements to measurement frameworks across the team and key partners.
• Lead the application, governance, and reporting cadence of the brand measurement framework, working closely with Brand Marketing, Data Science, and external agencies. Own the application and continuous refinement of our measurement methodology stack, making informed decisions that balance short‑term reporting needs with long‑term measurement objectives.
• Drive alignment across teams by gathering requirements from partners across the organization, collaborating to ensure alignment and maximize impact on measurement capabilities that complement their workflows.
• Deliver persuasive and data‑driven media performance reviews, translating complex findings into clear, compelling narratives that inform and drive decisions at the weekly and monthly business reviews.
• Provide the “source of truth” for internal consumers by owning critical analytical reporting on metrics like aided brand awareness, familiarity, and consideration. Take ownership of these strategic initiatives and drive them forward with minimal guidance.
• Apply expertise in brand health surveys, including the statistics behind sampling and reporting results, to proactively identify and address gaps before they impact decision‑making.
• Create and manage data pipelines from multiple sources, leading the design of scalable, performant ETL workflows that keep data accessible, fresh, and consistent—and mentor teammates on technical best practices.
• Collaborate with Strava’s broader data organization (Machine Learning, Data Platform, and beyond), demonstrating determination to collectively improve our technological craftsmanship, even when navigating ambiguous or complex challenges.

• 5+ years of full‑time experience in analytics, data science, or other quantitative domains supporting growth marketing teams, with a track record of independently executing large‑scale measurement projects and initiatives.
• 3+ years of experience with performance measurement across paid and organic channels, including Tik Tok, Meta, Reddit, and similar platforms, and can anticipate and evaluate risks and opportunities associated with cross‑channel strategies to make informed recommendations.
• Track record of defining and building key metrics and dimensions that accurately reflect user behavior and drive meaningful marketing decisions, proactively taking on challenging assignments and driving them to completion with strong organizational alignment.
• Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows that balance performance and scalability, and bring analytical rigor to identify the right solutions to complex, ambiguous problems.
• Proficient in quantitative programming languages like Python, experienced with Tableau, consistently seeking to initiate improvements to processes and tools that deliver superior results.
• Comfortable operating in ambiguity—able to design the right test, identify the best proxy metric, or transparently frame uncertainty in a way that empowers decision‑makers rather than stalls them.
• Deep technical expertise in brand measurement methodologies, including Marketing Mix Modeling (MMM), brand lift studies, and experimental design.
• High ownership of your work, collaborating…