Lead Marketing Analyst

About Strava

Strava is the app for active people. With over 195 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 with Strava today.

Lead Marketing Analyst

The Lead Marketing Analyst is a key member of the Marketing Analytics team. The team focuses 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.

Responsibilities

• 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.

Requirements

• 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.
• 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 with cross-channel strategies to make informed recommendations.
• A track record of defining and building the 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.
• Extensive experience extracting large datasets and designing ETL workflows that balance performance and scalability, and bring the analytical rigor to identify the right solutions to complex, ambiguous problems.
• Proficiency in quantitative programming languages like Python, experience with Tableau, and a willingness 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.
• Strong communication skills who can craft compelling narratives and ensure transparency by proactively sharing relevant insights that could impact projects or decisions.
• Ability 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.

Qualifications

• Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows that balance performance and scalability.
• 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.

Benefits

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.

Pay

Compensation Range: $205K - $227K