Senior Data Analytics Manager, Runna
Runna
- London, England, United Kingdom
- London, England, United Kingdom
Über
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.
Not being afraid to ask questions, learn, share and iterate on ways of working, your business area, and analytics capabilities.
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.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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