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Checkout.com is a global fintech platform powering over 10 billion transactions yearly for companies like eBay, Spotify, Klarna, Uber, and Sony. You will join the Interchange and Automation Unit in Ebene, Mauritius, reporting to the Manager of Interchange and Automation, serving as the analytical backbone of commercial performance.
In this role, you will execute data workflows that ensure global sales teams are incentivized correctly and revenue insights are accurate. You will be deeply involved in interchange definition, setup, and investigation, working as a problem-solver who digs into numbers to find truth and ensure accurate operations.
Key responsibilities include:
- Supporting development and maintenance of interchange fee models by translating scheme rules and business requirements into mapping and configuration inputs
- Executing reconciliations and analytical checks to validate data accuracy, identify variances, and support root-cause investigations
- Investigating operational issues across fee calculations, invoices, transaction data, and reporting, with clear analysis and recommended next steps
- Contributing to implementation of scheme mandates and fee changes through coordination and tracking
- Maintaining and improving recurring data workflows, controls, and documentation to reduce manual effort
- Producing management reporting and data visualizations tailored to different audiences
- Supporting testing and validation of automation, configuration, and data changes
- Contributing to cross-functional projects improving Cost of Sales operations and data quality
- Building deep knowledge of interchange operations and becoming a dependable point of contact
Checkout.com operates a hybrid model with three days per week in office to support collaboration. The company has 20 offices across six continents with London as headquarters, and emphasizes high performance, fast execution, and global thinking.
REQUIREMENTS:
- 2–4 years of experience in Data Analytics, Revenue or Sales Operations, Finance, Cost of Sales, or similarly analytical role in fast-paced environment
- Qualification in Accounting, Mathematics, Economics, Finance, or another quantitative discipline, or equivalent practical experience
- Ability to work through large or imperfect datasets, identify anomalies, and explain variance drivers clearly
- Confident with Google Sheets or Excel, including complex formulas, data manipulation, and analysis
- SQL, data visualization, workflow tools, or automation experience is a plus
- Interest in payments, card schemes, or financial operations; familiarity with Visa or Mastercard interchange and fee rules is helpful but not essential
- Organized, dependable, and able to manage recurring operational tasks while progressing improvement work
- Clear communication, effective questioning, and constructive collaboration with technical and non-technical stakeholders
- Attention to detail and understanding of importance of controls, documentation, and evidence in financial operations
- Comfort with changing priorities, ambiguity, and learning new systems and processes quickly
