Lead Marketing Analyst

Strava
Strava NYPosted 26 April 2026

Job Description

Lead Marketing Analyst 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 Lead Marketing Analyst 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 the Marketing 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! 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. YOU’RE EXCITED ABOUT THIS OPPORTUNITY BECAUSE YOU WILL: - 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. You'll 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. You 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 mentoring 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. WE’RE EXCITED ABOUT YOU BECAUSE: - You have 5+ years of full-time experience in analytics, data science, or other quantitative domains supporting growth marketing teams, and have a track record of independently executing large-scale measurement projects and initiatives. - You have 3+ years of experience with performance measurement across paid and organic channels, including TikTok, Meta, Reddit, and similar platforms and can anticipate and evaluate risks and opportunities associated w ... (truncated, view full listing at source)
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