As our next Analytics and Experimentation Lead, you'll play a key role in helping us build the UK's go-to home improvement marketplace.
Analytics tooling — including AI — is doing more of the heavy lifting on execution, and this role is the human layer above it: making sure the numbers are right.
This role is perfect for someone with data science experience who enjoys working with data scientists on building models and systems with huge impact but also wants to own the strategy and direction of their work and work closely with the C-suite on driving the company forward with more intelligent, data-driven systemsForget long lists, here's what you'll actually spend your time on:Owning metric integrity — defining and governing what our numbers actually mean, so no one downstream is making a call off a flawed definition or a dodgy query.
Designing and interpreting A/B tests — setting the success metrics, sizing the sample properly, and knowing when a result is underpowered rather than just running with it.
Diagnosing what's actually driving commercial performance — why revenue is moving, where leads are dropping out of the funnel, which segments are underperforming — and turning that into a structured investigation with real hypotheses.
Turning analysis into action — sizing the commercial impact, laying out the trade-offs, and helping the business decide what to do differently, then tracking whether it worked.
Building interactive dashboards and self-serve tools that keep stakeholders oriented day-to-day, without an analyst needing to be in the loop every time.
It's about turning up curious, ready to crack on.
You'll do well here if you bring:A track record across all three layers — not just producing analysis, but diagnosing the cause and driving the action that actually changed the outco.