checkout.com - Associate, Strategic Finance Analytics

• Analyse commercial and business performance - evaluating the full P&L and measuring ROI in order to help the business assess where it is creating value. • Translate ambiguous requests from leadership, Finance and cross-functional stakeholders into clear, decision-ready insights. • Craft executive-style deliverables, which may include decks, models, written documents or AI-powered apps. • Leverage AI tooling as a force multiplier to build and automate reusable analytical workflows that enable your stakeholders to quickly understand performance. • Drive continuous reporting improvements, standardisation, and simplification whilst documenting definitions and limitations - leaving no room for approximation. • Collaborate directly with Data Engineering and Data Science to support the development and enhancement of our core financial data models, and the context layer that enables AI agents to leverage that data. • You will be empowered to work directly with Finance and Data partners to scope requirements and deliver initiatives end-to-end. • WHAT WE LOOK FOR • ESSENTIAL CRITERIA • You’ll have 3+ years of relevant experience in data-driven and analytical roles, and hold a bachelor’s or master’s degree in a quantitative or business discipline. • Strong analytical thinking: you’re comfortable working with numbers, identifying the underlying patterns and drawing sound conclusions. • Excellent verbal and written communication skills: you have the ability to adjust your style to suit different perspectives and seniority levels. • Commercial curiosity: you want to dive into the details to understand how merchant, product, and commercial dynamics affect financial performance. • Confidence with data tools: You have strong spreadsheet skills and experience with BI tooling and data platforms, or demonstrate a clear aptitude and willingness to learn. Python and SQL experience is a plus. • Exceptional attention to detail: you rigorously validate data, pressure-test assumptions, and transparently communicate analytical limitations. • You’ve used AI hands-on in a business environment to create new tooling or workflows.