Head of Commercial Analytics

Head of Commercial Analytics - inc. Pricing & Product

Location: London

Industry: Fin-tech

Opportunity Overview

A high-growth fin-tech business is seeking an ambitious Head of Commercial Analytics to lead pricing and commercial insight across its customer propositions. This role will own pricing strategy end-to-end, contribute to the development of new partnerships, and drive innovation through data-led learning.

The position sits at the centre of the company’s commercial and pricing strategy, using data-driven insights to identify how pricing can be used as a key lever for sustainable growth. The successful candidate will analyse customer behaviour, commercial performance, and market dynamics to inform decision-making and support the company’s scaling ambitions.

This is an excellent opportunity for an experienced analytics or strategy professional looking to step into a senior leadership role within a fast-growing, category-defining business. The role offers close collaboration with senior leadership, including the executive team and founders, and the chance to shape a critical strategic capability as the company expands both in the UK and internationally.

Key Responsibilities

• Lead the development of the company’s commercial analytics and pricing capability, working closely with strategy, finance, commercial, and engineering teams.
• Own and evolve pricing strategies across all customer propositions, ensuring they support sustainable growth and commercial performance.
• Use data and advanced analytics to generate insights that influence commercial decisions and business strategy.
• Partner with internal stakeholders to deliver impactful initiatives informed by analytics and experimentation.
• Balance strategic thinking with hands-on analysis, translating complex data into actionable business recommendations.
• Over time, build and lead a high-performing commercial analytics team.

Candidate Profile

• 7+ years’ experience in analytics, data science, or strategy-focused roles.
• Strong academic background (ideally 2:1 or above) in a quantitative or STEM discipline from a leading university.
• Advanced technical capability, including experience with tools such as SQL and Python, and the ability to work deeply with complex datasets.
• Demonstrated ability to combine detailed analysis with broader strategic thinking.
• Strong stakeholder management skills and experience working cross-functionally in fast-paced environments.
• High levels of ownership and accountability, with a proactive approach to driving outcomes.