Role overview

Checkout.com is a global fintech platform processing over 10 billion transactions yearly for major companies including eBay, Spotify, Klarna, Uber, and Sony. As an Associate in Strategic Finance Analytics, you will transform financial and commercial data into actionable insights that guide leadership decision-making, working across Finance, Data Engineering, and business teams to support the company’s rapid growth.

Key responsibilities

Analyze commercial and business performance by evaluating the full profit and loss statement and measuring return on investment to help the business identify where value is being created.
Translate complex and ambiguous requests from leadership, Finance, and cross-functional partners into clear, decision-ready analytical insights.
Create executive-level deliverables including presentations, financial models, written analyses, and AI-powered applications tailored to stakeholder needs.
Apply AI tools to build and automate reusable analytical workflows that enable stakeholders to quickly assess performance metrics.
Improve reporting consistency, standardization, and simplicity by establishing clear data definitions and transparently documenting analytical limitations.
Partner directly with Data Engineering and Data Science teams to develop and enhance core financial data models and supporting infrastructure for AI applications.
Work end-to-end with Finance and Data partners to scope requirements and deliver analytical initiatives independently.

Requirements

Minimum three years of experience in data-driven and analytical roles, plus a bachelor’s or master’s degree in a quantitative or business discipline.
Strong analytical thinking with the ability to work comfortably with numerical data, identify underlying patterns, and reach sound conclusions.
Excellent verbal and written communication skills, with the ability to adjust your communication style for different audiences and organizational levels.
Commercial curiosity and genuine interest in understanding how merchant, product, and commercial factors influence financial performance.
Demonstrated proficiency with spreadsheet applications and hands-on experience with business intelligence tools or data platforms; Python and SQL experience is valued but not required if you show strong aptitude and willingness to learn.
Exceptional attention to detail with a rigorous approach to data validation, assumption testing, and transparent communication of analytical constraints.
Practical experience using AI tools in a business setting to create new tools or workflows.

What makes this role worth considering

You’ll be part of Checkout.com’s London headquarters within a company operating across 20 offices on six continents. The role offers genuine ownership, meaningful work with measurable impact from day one, and a hybrid working arrangement with three days per week in the office. This is a high-growth fintech environment where ambition meets real opportunity and your professional development is actively supported.