Marketing Analyst, Performance Marketing

We're putting together a talented team to build the #1 training platform for Runners

We help everyday runners become outstanding by building an incredible app providing world-class training, coaching and community for everyone, whether you're improving your 5k time or training for your first marathon.

We’re growing extremely fast! In November 2023 we closed a $6.5M funding round led by JamJar with participation from Eka Ventures, Venrex and Creator Ventures. In 2024, we were selected by Apple as one of three global finalists for the iPhone app of the year, reflecting the innovation and impact of what we’ve built & in 2025 we were acquired by Strava!

Our ambition is huge: to become the go-to global leading training platform for millions of runners everywhere. We’re growing with purpose and looking for people who want to build something meaningful with lasting impact. With the recent acquisition by Strava accelerating our journey, now is a really magical time to join. 🚀

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.

We follow a flexible hybrid model that translates to more than half of your time on-site – 3 days per week in Runna's office based in London, UK.

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

• 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
• 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.

We're offering a salary of £76,500 - £92,700, plus participation in Strava's long-term incentive (stock) programs.

We're also committed to continually evolving our benefits to support you as we grow. Here is a brief overview of what we currently offer in the UK 🇬🇧

Please see more info on our benefits here: Benefits at Runna

Our Interview Process

Our aim is to keep the interview process as straightforward and enjoyable as possible, and will consist of the following stages:

Please let us know if there's anything we can do to better accommodate you throughout the interview process. This can range from scheduling interviews around childcare commitments to accessibility requirements. We want you to show your best self in the process, so please speak to your Talent Partner!

How to Apply:

Please apply through this link (this will take you to our Ashby career hub). Please note, we are unable to accept any applications outside of Ashby. If you have any questions regarding the status of your application, please email careers@runna.com

Still have questions or want to know more? Check out our Careers Page ✨

🌎 We’re unfortunately unable to sponsor for this role