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. 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.

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.
• You are highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows that balance performance and scalability, and you bring the analytical rigor to identify the right solutions to complex, ambiguous problems.
• You’re proficient in quantitative programming languages like Python, experienced with Tableau, consistently seeking to initiate improvements to processes and tools that deliver superior results.
• You are 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.
• You bring deep technical expertise in brand measurement methodologies, including Marketing Mix Modeling (MMM), brand lift studies, and experimental design.
• You take high ownership of your work, collaborating proactively with partners across the business to ensure alignment, maximize impact, and drive continuous improvement.
• You're a strong communicator who can craft compelling narratives and ensure transparency by proactively sharing relevant insights that could impact projects or decisions.
• You consistently meet goals, keep projects on pace, and follow through on your commitments, demonstrating the ability to analyze and prioritize projects based on their potential impact and maintain momentum even in challenging circumstances.
• 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.