Lead Marketing Analyst, Runna

• Substantial experience (5+ years) in marketing data analytics or analytics engineering, with a track record of building high-quality, reusable data models and BI dashboards for varied stakeholders
• Advanced SQL skills, including building complex, scalable queries across marketing platforms (e.g. Apple Ads, Google Ads, Meta, AppsFlyer) and data warehouses (ideally Snowflake)
• Experience designing and evaluating experiments, including incrementality testing and A/B methodologies
• Strong Python skills for data cleansing, transformation, and analysis
• A track record of translating complex technical findings into clear recommendations for both technical and non-technical stakeholders
• Experience coaching or mentoring more junior analysts and helping set technical standards for a team

Desirable

• You'll be the analytics lead for Runna's Performance Marketing function, bringing rigor and strategic insight to paid media, acquisition, and marketing-led initiatives. Working closely with growth marketing, strategy, and finance, you'll define the right metrics, build measurement frameworks, and turn data into decisions that shape how millions of athletes experience Runna
• The Marketing Analytics team powers the decisions that drive both Strava and Runna's user and subscription growth and retention
• We sit at the intersection of data and strategy, partnering across marketing, product, and finance to accelerate learning, make data-informed decisions, and define data-inspired solutions that fuel both Strava and Runna's growth
• Own the analytics and measurement strategy for Runna Performance Marketing, including defining KPIs, building measurement frameworks, and translating outputs into actionable recommendations for key stakeholders, with additional support for other marketing areas such as Lifecycle and Organic Marketing where needed
• Build high-quality marketing attribution models, using your paid media expertise as the foundation the team uses for campaign strategy
• Leverage MMM, MTA, Incrementality Testing and other tools to measure the impact of spend distribution across business units, geos and channels, and surface new platforms for testing
• Maintain up-to-date awareness of paid media industry trends and best practices, including evolving privacy requirements and tracking standards and apply them to our attribution and measurement approach
• Partner with performance marketers to design and evaluate experiments across marketing channels and geos, ensuring rigorous incrementality measurement
• Design and deliver dashboards that make key insights intuitive and accessible
• Work with stakeholders across the business to turn open-ended questions into technical solutions

• Our aim is to keep the interview process as straightforward and enjoyable as possible, and will consist of the following stages:
• Initial application and HackerRank Assessment (20 mins)
• Screening call with Talent team (30 minute video call)
• Interview with the Hiring Manager (30 minute video call)
• SQL Take-Home Test (max 2-3 hours to complete, and discussed on a call with a couple members of the team)
• Analytics Case Study Interview (Performance Marketing) (60 minute video call)
• Meet the team (2x 30 minute in-person chats with more members of the team)