Analytics Manager

Analytics Manager

London, Hybrid (3 days in office)

Salary up to £90,000

This is an exciting opportunity to join a high‐growth technology business during a pivotal phase of scale. You will take ownership of approval‐rate strategy across both consumer and business products, working with a modern decisioning platform and a high‐calibre leadership team. If you enjoy combining analytics, commercial thinking, and hands‐on optimisation, this role offers clear, high‐impact work and strong progression.

The Company

They are a fast‐growing technology business operating in the circular economy space, offering customers and businesses a more sustainable way to access premium tech. Their model focuses on re‐use, affordability, and long‐term device lifecycle value. Backed by well‐known investors and recently profitable, they are scaling rapidly across the UK and preparing for international expansion. The team is mission‐driven, data‐led, and passionate about building a smarter, more sustainable future for tech access.

The Role

In this role, you will

• Lead strategic projects to optimise approval rates across products.

• Use SQL to interrogate complex multi‐source data and identify performance drivers.

• Improve conversion and customer acquisition performance by partnering with Growth and Marketing teams.

• Shape and enhance decisioning logic within a newly implemented decisioning platform.

• Develop scalable data frameworks, tracking, and monitoring processes.

• Work closely with Product, Engineering, and Operations to refine logic, integrate new data sources, and strengthen controls.

• Balance commercial objectives with risk considerations to support sustainable growth.

Your Skills and Experience

You will bring

• Strong commercial experience using SQL in analytical, strategy, or credit‐focused environments.

• Hands‐on experience working with large, complex, multi‐source datasets.

• Proven ability to translate data into commercial decisions and market‐relevant outcomes.

• Experience in lending, credit risk analytics, fintech, or another data‐intensive industry such as pricing, e‐commerce, gambling analytics, or FS consulting.

• Ability to collaborate across teams and operate in environments that require both strategic thinking and hands‐on problem‐solving.

• Python experience is advantageous but not essential.

HOW TO APPLY:

Apply by sending your CV to Joe by the link below