Responsibilities

• 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

Requirements

• 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

Preferred

• Relevant Degree: A degree in a related field such as Computer Science, Mathematics/Statistics, or Data Science is great to have.
• Continuous Integration/Continuous Deployment: Knowledge of CI/CD best practices and experience with methodologies and tooling, such as GitHub actions, is beneficial but not required.
• Fitness: Experience with fitness data (e.g. heart rate data, FIT files) or even a general interest in fitness will be beneficial for understanding the domain.

Benefits

• 🏢 Flexible working – we typically spend 3 days a week together in our Vauxhall office
• 🏝️ 25 days holiday, plus bank holidays
• 📱 Free Runna & Strava subscriptions for you and 3 of your friends (get ready to be your friends' fave person or save them for holiday presents!)
• 🧘 Headspace membership
• 💸 Money every year to spend on gear, events and the gym!
• 🏥 Private health insurance with Bupa and workplace pension scheme
• 💖 Modern Health is a mental wellness platform and app that combines technology with professional support to improve mental well-being and reduce stress
• 🥕 Carrot fertility support : this benefits provider can provide inclusive fertility, hormonal health, and family-forming benefits to our global employee population and takes the burden off what we know can be a stressful process