Lead Marketing Analyst

Strava • New York, NY

1d • Hybrid

About The Position

Strava is seeking a Lead Marketing Analyst to join their Marketing Analytics team. This role will focus on measuring the performance and impact of paid and organic marketing efforts on Brand Awareness, MAU, Registration, and Subscription growth. The Lead Marketing Analyst will collaborate with various teams including Brand Marketing, Growth Marketing, Community Partnership Team, Design, and leadership to foster learning, enable data-informed decisions, and develop data-inspired solutions to drive platform growth. This position reports to the Marketing Analytics Manager and involves close partnership with cross-functional stakeholders, offering high visibility and an opportunity to deliver actionable data insights.

Requirements

• 5+ years of full-time experience in analytics, data science, or other quantitative domains supporting growth marketing teams.
• 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.
• Ability to 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.
• 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.
• Deep technical expertise in brand measurement methodologies, including Marketing Mix Modeling (MMM), brand lift studies, and experimental design.
• High ownership of work, collaborating proactively with partners to ensure alignment, maximize impact, and drive continuous improvement.
• Strong communicator who can craft compelling narratives and ensure transparency by proactively sharing relevant insights.
• Consistently meet goals, keep projects on pace, and follow through on commitments.
• Ability to analyze and prioritize projects based on their potential impact and maintain momentum.
• Ability to spot overlooked data insights and make recommendations to improve self-service capabilities and ways of working.

Responsibilities

• Own brand media measurement planning and strategy, ensuring investments align with Strava’s brand marketing OKRs and proactively identifying strategic improvements to measurement frameworks.
• Lead the application, governance, and reporting cadence of the brand measurement framework, working with Brand Marketing, Data Science, and external agencies.
• Own the application and continuous refinement of the measurement methodology stack, balancing short-term reporting needs with long-term measurement objectives.
• Drive alignment across teams by gathering requirements from partners and collaborating to maximize impact on measurement capabilities.
• Deliver persuasive, data-driven media performance reviews, translating complex findings into clear narratives for 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.
• Apply expertise in brand health surveys, including statistics for sampling and reporting, to proactively identify and address gaps.
• Create and manage data pipelines from multiple sources, leading the design of scalable ETL workflows and mentoring teammates on technical best practices.
• Collaborate with Strava's broader data organization (Machine Learning, Data Platform) to improve technological craftsmanship, even when navigating ambiguity.

Benefits

• Flexible hybrid model (more than half of time on-site in New York office - three days per week)
• World-class, inclusive workplace
• Opportunities for employees to grow and thrive

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 251-500 employees