Company: Checkout.com
Location: London
Job Description:
Overview
In this role you turn financial and commercial data into clear insights to help leadership understand drivers of performance. You will partner with Finance and Data teams to build analytical workflows that enable fast, data-driven decisions. You’ll create executive-ready deliverables and leverage AI tooling to automate analyses, while improving reporting and data models. You work directly with cross-functional partners to scope and deliver initiatives that impact the business, growth, and profitability.
Pay / Benefits
- hybrid work model (3 days in-office)
- growth opportunities
- ownership and impact
- collaborative culture
Responsibilities
- Analyze commercial and business performance including P&L and ROI to assess value creation
- Translate ambiguous requests into decision-ready insights for leadership and stakeholders
- Create executive-style deliverables (decks, models, documents, or AI-powered apps)
- Leverage AI tooling to build and automate reusable analytical workflows
- Drive reporting standardisation, accuracy, and documentation of definitions and limitations
- Collaborate with Data Engineering and Data Science to develop financial data models and context layers for AI agents
- Scope requirements with Finance and Data partners and deliver initiatives end-to-end
Key requirements
- 3+ years of data-driven analytical experience
- Bachelor’s or Master’s degree in a quantitative or business discipline
- Strong analytical thinking and ability to derive insights from data
- Excellent verbal and written communication skills
- Commercial curiosity and ability to understand merchant, product, and commercial dynamics
- Confidence with data tools (spreadsheets, BI tooling, data platforms); Python and SQL a plus
- Exceptional attention to detail and rigorous data validation
- Hands-on use of AI in a business environment to create tooling or workflows
- analytical thinking
- communication skills
- commercial acumen
- spreadsheet skills
- BI tooling
- data platforms
…
Posted: October 18th, 2026