Strategy & Analytics Manager

🔒 Confidential Employer
Posted 8 May 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Data & Analytics
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

SQL Python AI tools (Claude, Copilot) Data analysis Strategic thinking Collaboration Communication Project management

FULL DESCRIPTION

Strategy & Analytics Manager

[Employer hidden — sign up to reveal] is the subscription infrastructure for the world's leading electronics brands, powering the circular economy. We enable electronics brands to shift from single-use to circular business models. We are at £70m ARR, profitable, growing fast, with 200,000+ active subscriptions. This role sits in the Credit and Fraud Strategy team, focusing on optimising approval rates for existing customers.

What You’ll Do

  • Lead strategic projects to optimise approval rates for existing customers who want to take out more tech.
  • Investigate key drivers of performance and identify opportunities for improvement.
  • Use AI to boost your analytical capabilities and drive innovation in monitoring, automation, and internal decision making.
  • Collaborate with Product and Engineering on technical design of rule changes and implementation of new data sources.
  • Partner with Growth and Marketing teams to develop seamless positive experiences and reduce friction where a decline decision is the best outcome.
  • Design scalable data frameworks and tracking systems to support smarter decisions.
  • Balance flexibility and scalability while maintaining high data quality across multiple sources.

You’ll Succeed with

  • 3-5 years of experience in strategy, analytics, or product/data roles in fast-paced, data-driven environments.
  • A 2:1 or above from a top university, ideally in a STEM or other highly analytical discipline.
  • Hands-on daily use of AI tools (e.g., Claude, Copilot) to accelerate the insight → decision → implementation cycle.
  • Strong working knowledge of SQL is required; Python experience is a strong plus.
  • A track record of going from ambiguous problems to in-market impact using data.
  • Experience with modern analytics stacks (data warehouses, dashboards, monitoring systems).
  • A direct communication style that adapts appropriately to audiences with different technical expertise.
  • Takes feedback well and moves quickly on it.
  • Comfort working in a fast-moving, high-ownership environment where the answer is not always obvious.

Opportunities & Benefits

  • Fast-track your career – 40% of employees are promoted every review cycle (bi-annually).
  • Exclusive [Employer hidden — sign up to reveal] device lease for employees.
  • Stock options for all employees.
  • L&D budget to support the skills you value.
  • Hybrid working model – 3 set days in the London Bridge Office (Monday, Wednesday & Thursday).
  • 33 days off, your way – 25 days + 8 bank holidays.
  • Enhanced maternity, paternity, adoption or shared parental leave after 12 months.
  • Workplace nursery scheme for major cost savings.

How to Apply

Apply via the [Employer hidden — sign up to reveal] careers page or through the 'Apply' button on this listing. The hiring process starts with a 15-minute call.

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