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

We help everyday runners become outstanding by providing world-class training, coaching and community for everyone, whether you're improving your 5k time or training for your first marathon. To date we have built iOS, Android and Apple watch apps that help people achieve their goals by coaching them through the full journey and syncing to their favourite fitness devices.

We’re growing extremely fast and in November 2023 closed a new $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 2024 iPhone App of the Year, reflecting the innovation and impact of what we’ve built. We want to grow as fast as we can into the future and are looking for individuals who will help us get there. For more about our background and growth check out our Careers Page!

We’re now looking ahead to the future and the people who want to help us build and scale Runna. Our aim is to reach millions of subscribers in the next 5 years and be the go-to training platform for any runner. Now is a magical time to join, we're still small, and everyone makes a foundational difference.

Who we’re looking for

We’re looking for a talented, creative, and positive team player to join our highly skilled cross-functional engineering team as our first Data Analyst. You will work closely with our growth, product, and engineering teams to help them become truly data-driven. Your role will be both hands-on, transforming complex data into clear, impactful dashboards and reports, and strategic, empowering teams to ask better questions, interpret results confidently, and build a strong data culture across the company.

As a Data Analyst, your role will include:

• Championing an organisation-wide culture of data-driven decision making: from day-to-day operations to strategic initiatives.
• Designing and optimising data models in our Data Warehouse (Snowflake) to support analytics across product, marketing, and operations.
• Translating complex business questions into clear, actionable insights via reports and visualisations.
• Partnering with the Data Platform team to identify and address gaps in our data infrastructure, pipelines, and governance.
• Building and maintaining self-serve dashboards that are easy to interpret and trusted by the various stakeholders.
• Working directly with product, growth, and engineering teams to help them explore, interrogate, and act upon their data.
• Coaching teams to use data confidently and responsibly; upskilling them in querying, interpretation and decision-making.
• Proactively identifying areas of the organisation that lack data support and helping them adopt data-driven approaches.
• Understanding and documenting our data and the business to explain the behaviours of our users, simplifying the complexities and nuance in a concise way for key stakeholders.
• Acting as a data quality steward; confidently identifying, investigating and helping resolve data quality issues across all domains.

What experience we’re looking for

If you don’t quite meet all of the below skills, we’d still love to hear from you as we might be able to tweak the role slightly or offer you a position better suited for you. You can apply directly below or contact us if you’re still unsure.

Your key experience:

• 2+ years in an Analytics role or similar
• Experience with quantitative methods and approaches to solving problems gained through various experiences or studies ( e.g. Computer Science, Mathematics, Physics, Engineering degree or equivalent practical experience).

Your key skills:

• You have industry experience working on production ready data models as a developer or an analyst, preferably in a data warehousing context.
• Expert in SQL with experience using relational databases (e.g. MySQL / SQL Server) and NoSQL databases (e.g. AWS DynamoDB).
• Familiarity with Snowflake or similar cloud Data Warehouse platforms (e.g. Databricks, Redshift, Big Query, etc.).
• Proficiency with Python scripting.
• You have experience building robust and reliable data models with excellent attention to detail, considerations for data quality, and a pragmatic approach to solving difficult problems.
• You have experience designing and building dashboards and reports, using tools such as Looker, Amazon QuickSight, Tableau or similar.
• You have excellent communication and collaboration skills, and are able to clearly articulate your thoughts to technical and non-technical stakeholders through written and verbal communication.
• Able to work within a highly-skilled engineering team in a fast-paced, iterative environment
• Enthusiasm for our ways of working which include:
  • Iterative development, continuous deployment and test automation
  • Knowledge sharing, pair programming, collaborative design & development
  • Shared code ownership & cross-functional teams

Bonus points:

• Experience with infrastructure as code tools (e.g. Terraform, CloudFormation) and CI/CD pipelines.
• Experience working with AWS
• Experienced with job orchestration frameworks (e.g. Airflow, MWAA on AWS)
• Have a strong interest in the health/fitness technologies

Our Tech Stack

Check out our Tech Radar here which we are constantly iterating, and below you can find a small reflection of our current tech stack:

Frontend:

• React Native (iOS and Android)
• Typescript
• GraphQL (Apollo Client)
• Fastlane
• SwiftUI (Apple Watch)
• Maestro E2E tests

Backend:

• Serverless (AWS)
• Lambdas (NodeJS & Python)
• AWS AppSync
• DynamoDB, S3, SQS, SNS, EventBridge, SageMaker
• Snowflake

All the other good stuff:

• Sentry
• GitHub Actions
• Intercom, Mixpanel
• RevenueCat
• App Store Connect / Play Store
• Google Tag Manager

Interview Process

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

1. Kick off! (apply below)
   1. Please let us know if there’s anything we can do to better accommodate you throughout the interview process - this can be from scheduling interviews around childcare commitments to accessibility requirements. We want you to show your best self in the process ❤️
2. Introductory chat with our talent team (25-minute video call)
3. First round interview with a member of the data/platform team (30 minute video call)
4. Take home technical task
   1. We think this should take no more than 3-4 hours to complete
   2. We also ask that you complete it within a week of receiving it
5. Second round technical interview (1 hour video call)
   1. The first half of the call will be used to discuss the take-home technical task
   2. The second half will be some general data/technical questions
6. Meet the team and in-person chat (in-person chat with data and platform teams)

Once the process is finished, we promise to let you know our decision as soon as possible.

Benefits and options

We offer a salary of £60,000 - £80,000 (depending on experience), plus generous equity.

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