Senior Data Analyst I

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. 🚀

The team you’ll joinWe are looking for a talented, creative, and positive team player to join our highly skilled data analytics team and play a key role in shaping and evolving our data reporting and analytics capabilities. The data analytics team at Runna is responsible for exploratory analysis and documentation of our data, designing reusable data models to make data more consumable for a wider audience, collaborating with key stakeholders to understand the business questions they’re trying to answer, and building dashboards/reports to visualise and present our data to a wider audience. You’ll work closely with the data engineering team to ingest and model data along with a variety of other stakeholders around the business to understand their specific reporting/data needs.

What you’ll be doingAs a Senior Data Analyst, you will;

• Explore and understand our data ecosystem allowing you to carefully document observed behaviours

• Build high quality data models serving as the foundation for the team to use and build out more complex models or use to drive reporting

• Deliver business insights to key stakeholders to help them make better informed decisions on the direction of the product and business

• Design and deliver engaging dashboards which intuitively deliver key insights

• Collaborate with stakeholders around the business to understand the business questions they are trying to answer and converting those questions into technical solutions

What you’ll bring to the team: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:• 3+ years in a Data Analytics, or Data Analytics Engineer role

• 3+ years working with BI reporting tools and SQL

• Experience designing and building data models

• Experience working and communicating with stakeholders at all levels

Your key skills:• Advanced SQL: Expertise in writing complex SQL queries to extract and model data from a variety of different data sources; your queries should be easy to read, efficient, and scalable.

• Data Wrangling: Ability to understand and clean messy data, looking for opportunities to make our data more robust and easier to use.

• Data Modelling: You craft high quality re-usable data models according to industry best practice.

• Data Warehouse Tools: Experience working with data warehouses (ideally Snowflake) and data at scale will be highly beneficial.

• Python: Proven ability to write clean, performant, and well-documented Python code for data cleansing, transformation, and analysis.

• BI Dashboards: Expertise in BI/dashboarding tools to build compelling automated dashboards for our internal teams and stakeholders.

• Source Control: Experience with source control (ideally GitHub).

• Communication Skills: You will be a highly skilled communicator capable of taking complex technical solutions and explaining them to non-technical stakeholders or taking business requirements and turning them into a technical specification for a dashboard/report.

• Business Acumen: You have a foundational understanding of how businesses operate and can leverage your knowledge to get to the root of the problems our stakeholders are facing and solve them.

• Statistics: You will understand the fundamentals of statistics and can describe correlations in data to explain user behaviours.

Bonus points if you have:• Relevant Degree: A degree in a related field such as Computer Science, Mathematics/Statistics, or Data Science is great to have.

• Infrastructure as Code: Experience with Terraform or other IaC tools would be highly beneficial.

• 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,