Salary
💰 £90,000 - £100,000 per year
About the role
- Ship business-critical analyses on usage, retention and activation; spot key signals to shape product direction
- Dive deep into our data to improve foundational metrics
- Audit & improve data infrastructure, document data sources and build pipelines
- Own core company dashboards and refine them to make insights accessible to the full team
- Create a shared vocabulary across products and operations (e.g., “active user,” “successful transaction,” etc.)
- Scale analytics culture through education, process, and documentation
- Work closely with product and ops on growth experiments, operational bottlenecks, and behavioural insights
- Own continuous improvements to data quality, modelling, and warehouse efficiency
- Collaborate with leadership on strategic questions: customer segmentation, pricing experiments, expansion bets
- Work within a cross-functional Growth team, collaborating closely with marketing, product, design, and engineering
Requirements
- 3+ years in data science, analytics, or experimentation, ideally in high-growth startups or scale-ups
- Strong quantitative skills: A/B testing, causal inference, regression, forecasting
- ML/modelling experience (e.g. churn, LTV, propensity models)
- Proficient in SQL, Python/R; experience with event instrumentation and analytics tools
- Experience building dashboards and tracking metric health
- Excellent communicator - can explain insights clearly to engineers, designers, marketers, and leaders
- Entrepreneurial mindset, comfortable in ambiguity and fast iteration
- Based in London, able to be in Canary Wharf 3 days/week
- Bonus: Familiarity with growth analytics tools (Amplitude, Mixpanel, dbt)
- Bonus: Prior experience in e‑commerce, marketplaces, or live video environments