Product Analyst
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DATA ANALYST (PRODUCT) Fully Remote | Up to £55,000 + 10% Bonus + Equity | Permanent
THE OPPORTUNITY
A fast-growing membership platform connecting two sides of a marketplace is looking for a Product Data Analyst to join their expanding data team. The company is planning an exit in 1-2 years, meaning equity could pay out in a meaningful timeframe — a rare and genuinely exciting upside on top of a strong base package.
The data team has been built from the ground up over the last six months and now includes a Data Manager, Data Engineer, Senior Analytics Engineer, and Data Scientist. They've recently introduced DBT and Databricks, and this role sits within the Product arm reporting into the Data Manager.
This is a high-autonomy, high-impact role — you'll work directly with product managers, engineers, and UX designers on projects that shape how the platform grows and how members experience it.
THE ROLE
You'll be the embedded analytics partner to the product team, working across member experience, growth, and product performance. Day-to-day responsibilities include:
- Delivering clear, accurate analysis that informs product decisions and business priorities
CURRENT PROJECTS
App Behaviour — Auditing how users engage with the app, identifying gaps in understanding, and pulling together documentation around key metrics.
Virality — Understanding how the platform grows through word of mouth. Identifying platform advocates and exploring how to turn regular users into advocates through research and experimentation.
Member Experience — Analysing how members use the platform with a focus on ensuring they're successful in finding what they need.
WHAT THEY'RE LOOKING FOR
- Strong SQL proficiency and confidence working with large datasets
- Experience with BI or data visualisation tools (any stack)
BENEFITS
- Up to £55,000 base salary
- 10% annual bonus
- Equity (exit expected within 1-2 years)
- Fully remote with offices in London and Brighton
- Quarterly in-person meetups fully expensed
INTERVIEW PROCESS
Stage 1: 30-minute screen Stage 2: Take-home dataset — present back findings and Q&A
Interested? Send your CV across and I'll be in touch.