Senior Strategy And Analytics Manager

Description:

Senior Strategy and Analytics Manager

London, Hybrid - 3 days in office

This is an exciting opportunity to join a high‑growth, mission‑led technology business where data, strategy, and commercial impact sit at the heart of performance. You will shape one of the most critical levers in their economics and influence decisions across products, markets, and operations.

The Company

They are a fast‑growing, profitable technology organisation operating a circular‑economy driven model that makes premium devices more accessible and sustainable. With strong financial backing and recent expansion into new markets, they are scaling rapidly across consumer and business channels. Their culture is fast‑paced, data‑driven, and focused on building innovative solutions that have both commercial and environmental impact. Collaboration, curiosity, and ownership are central to how they operate.

The Role

• Own the strategy for collections and recoveries, driving improvements across journeys, operations, and partner performance.
• Use SQL and data‑driven insight to understand behaviour, identify opportunities, and shape optimised decisioning.
• Translate analytical findings into commercial action, balancing customer experience with strong unit economics.
• Work closely with operations, finance, product, engineering, and external partners to deliver measurable business outcomes.
• Contribute to wider strategic initiatives across both consumer and business portfolios.
• Manage and mentor one direct report, fostering high analytical and commercial standards.

Your Skills and Experience

• Strong commercial experience in analytics‑led strategy within lending, credit risk, collections, or a comparable data‑rich environment.
• Advanced SQL capability and confidence working with complex, multisource datasets.
• Ability to interrogate data independently and build defensible recommendations.
• Experience influencing cross‑functional stakeholders and driving commercially balanced decisions.
• A background in STEM or another quantitative discipline.
• Python experience is beneficial but not essential.
• Other relevant backgrounds could include pricing analytics, strategy in a scale‑up, insurance pricing, gambling analytics, consulting with data capability, or fraud and payments strategy.