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Checkout.com is a global fintech platform powering over 10 billion transactions yearly for more than one billion shoppers. The company operates across 20 offices on six continents, with London as headquarters, serving major clients 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 enable leadership to understand business performance and key drivers. You'll work closely with Data Engineering, Finance, and cross-functional teams to build analytical workflows supporting fast, data-driven decision-making.
Key responsibilities include:
- Analyzing commercial and business performance by evaluating P&L statements and measuring ROI to identify where value is created
- Translating ambiguous requests from leadership and stakeholders into clear, decision-ready insights
- Creating executive-level deliverables including presentations, financial models, written analyses, and AI-powered applications
- Leveraging AI tools to build and automate reusable analytical workflows that enable stakeholders to quickly assess performance
- Driving continuous improvements in reporting, standardization, and simplification while documenting definitions and limitations
- Collaborating with Data Engineering and Data Science teams to develop and enhance core financial data models and context layers for AI agents
- Working end-to-end with Finance and Data partners to scope requirements and deliver initiatives
The role operates within a hybrid model with three days per week in the London office to support collaboration and team connection.
REQUIREMENTS:
- 3+ years of experience in data-driven and analytical roles
- Bachelor's or master's degree in a quantitative or business discipline
- Strong analytical thinking with comfort working with numbers, identifying patterns, and drawing sound conclusions
- Excellent verbal and written communication skills with ability to adjust style for different audiences and seniority levels
- Commercial curiosity to understand how merchant, product, and commercial dynamics affect financial performance
- Strong spreadsheet skills and experience with BI tooling and data platforms; Python and SQL experience is a plus
- Exceptional attention to detail with rigorous data validation, assumption pressure-testing, and transparent communication of analytical limitations
- Hands-on experience using AI in a business environment to create new tooling or workflows
