Senior Data Analytics Manager, Runna
Senior Data Analytics Manager, Runna

Senior Data Analytics Manager, Runna

Full-Time 102000 - 115000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a data analytics team to drive user and subscription growth for an innovative running app.
  • Company: Join Runna, a fast-growing company recently acquired by Strava, focused on helping runners excel.
  • Benefits: Enjoy flexible working, generous holiday, health insurance, and wellness perks.
  • Why this job: Make a real impact in the fitness community while developing your analytics skills.
  • Qualifications: 7+ years in analytics, strong SQL skills, and experience leading teams required.
  • Other info: Collaborative environment with opportunities for personal and professional growth.

The predicted salary is between 102000 - 115000 ÂŁ per year.

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. Runna is growing extremely fast and was recently acquired by Strava. This is a magical time to join our global team.

What You’ll Do

  • Lead a team of data analysts to support the diverse needs of the Analytics team, focusing on user and subscription growth.
  • Drive strategic analytics initiatives to improve the efficiency and impact of Runna’s community and subscription product.
  • Establish a learning agenda to create a foundation for robust product and business growth strategies.
  • Partner with product, marketing and business teams to design and interpret A/B tests to drive explainable user and subscription growth outcomes.
  • Establish best practices for analytics, experimentation, data quality, and insights communication.
  • Conduct deep‑dive analyses to surface actionable insights related to trends in key business metrics.
  • Partner with product, biz ops, and finance teams to support annual business planning and product team goal settings.
  • Leverage your quantitative skills and business background to serve as a hands‑on collaborator with our User Lifecycle and Subscriptions team.
  • Think about scalability, building reusable data sets, and designing self‑service tools to empower your collaborators to learn along with you.
  • Apply your quantitative skillset and background in paid media to be a hands‑on collaborator with our Growth Marketing team.

What You’ll Bring to the Team

  • You have 7+ years of full‑time experience in analytics, data science, or other quantitative domains and have supported product teams.
  • You have 3+ years of experience leading high‑functioning analytics teams.
  • You are highly proficient with SQL and have experience with Business Intelligence tools (e.g. Tableau, Looker, Omni).
  • You have experience applying experimentation and advanced statistical methods to measure incremental impact across user lifecycle initiatives and subscription strategies.
  • You have hands‑on experience working with statistical programming languages (e.g. R, Python).
  • You have an understanding of data pipeline concepts (e.g. ETL, scripting common analysis workflows).

It’d be a bonus if you

  • Have obtained a degree ideally related to Statistics, Mathematics, Computer Science, etc. (degree subject not mandatory – but successful candidates will demonstrate high levels of fluency in data, data analytics and data decision‑making).
  • Have experience with Airflow or dbt.

Compensation Overview & Benefits

We’re offering a salary of £102,000‑£115,000 per year, depending on experience, plus participation in Strava’s long‑term incentive (stock) programs. Benefits include:

  • Flexible working – we typically spend 3 days a week together in our Vauxhall office.
  • 25 days holiday, plus bank holidays.
  • Runna subscriptions for you and 5 of your friends.
  • Strava membership.
  • Headspace membership.
  • Money each year to spend on gear, events and the gym.
  • We’ll give you a voucher to spend on our website so you can buy new Runna kit (renewed every year on your work anniversary).
  • Private health insurance with Bupa and workplace pension scheme.
  • Modern Health – a mental wellness platform and app.
  • Carrot Fertility support (inclusive fertility, hormonal health, and family‑forming benefits).

Our Interview Process

  • Introductory Call with Talent Lead, Emily (30 mins on Google Meet).
  • SQL Take‑Home Task Interview.
  • Technical Interview with Senior Director of Data, Strava Group – Chen Teel (Held on Google Meet).
  • Virtual Team Interviews.

Senior Data Analytics Manager, Runna employer: Runna

Runna is an exceptional employer that fosters a vibrant and inclusive work culture, perfect for those passionate about data analytics and community engagement. With flexible working arrangements, generous holiday allowances, and unique benefits like Runna subscriptions and wellness support, employees are empowered to thrive both personally and professionally. Joining our team means being part of a rapidly growing company with ample opportunities for career advancement and collaboration across global teams, especially following our recent acquisition by Strava.
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Contact Detail:

Runna Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Analytics Manager, Runna

✨Tip Number 1

Get to know the company inside out! Research Runna's mission, values, and recent developments. This will help you tailor your conversations and show that you're genuinely interested in being part of the team.

✨Tip Number 2

Practice your SQL skills before the technical interview. Brush up on your knowledge of Business Intelligence tools like Tableau or Looker. Being confident in your technical abilities will help you shine during the interview process.

✨Tip Number 3

Prepare some insightful questions for your interviewers. Ask about their analytics initiatives or how they measure success in user growth. This shows that you're not just looking for a job, but are keen to contribute to their goals.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows that you’re proactive and ready to take the first step towards joining our amazing team.

We think you need these skills to ace Senior Data Analytics Manager, Runna

Data Analytics
Team Leadership
SQL
Business Intelligence Tools
A/B Testing
Statistical Methods
Statistical Programming Languages
Data Pipeline Concepts
ETL
Scripting
Quantitative Skills
Collaboration
Experimentation
Data Quality Management
Insights Communication

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Analytics Manager role. Highlight your experience in analytics, team leadership, and any relevant tools you've used. We want to see how your background aligns with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to Runna's growth. We love seeing enthusiasm and a clear understanding of our mission.

Showcase Your Skills: Don’t forget to showcase your technical skills, especially with SQL and any BI tools you’ve worked with. If you have experience with statistical programming languages like R or Python, make sure to mention that too. We’re keen on seeing your quantitative prowess!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Runna

✨Know Your Data Tools

Make sure you're well-versed in SQL and any Business Intelligence tools mentioned in the job description, like Tableau or Looker. Brush up on your skills and be ready to discuss how you've used these tools in past projects.

✨Showcase Your Leadership Experience

Since this role involves leading a team of data analysts, prepare examples that highlight your leadership style and successes. Think about specific instances where you drove analytics initiatives or improved team performance.

✨Prepare for Technical Questions

Expect technical questions related to statistical methods and data pipeline concepts. Review your knowledge of A/B testing and be ready to explain how you've applied these techniques in real-world scenarios.

✨Demonstrate Collaboration Skills

This role requires partnering with various teams, so be prepared to discuss how you've collaborated with product, marketing, and finance teams in the past. Share examples of how you communicated insights and drove decisions based on data.

Senior Data Analytics Manager, Runna
Runna
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  • Senior Data Analytics Manager, Runna

    Full-Time
    102000 - 115000 ÂŁ / year (est.)
  • R

    Runna

    50-100
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