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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. This role is based in Ebene, Mauritius, with a hybrid working model (three days per week in office).
You will join the Revenue Operations team as a Data Analyst focused on Incentives & Commercial Reporting, reporting to the Manager of Incentives & Commercial Reporting. You will be the analytical backbone of commercial performance, executing data workflows that ensure global sales teams are incentivized correctly and revenue insights are accurate.
Key Responsibilities:
- Calculate, audit, and administer commercial compensation and bonus plans, ensuring every payout is accurate, transparent, and delivered on time
- Extract and manipulate raw data to build an unvarnished view of business performance, moving from estimation to predictability
- Leverage BigQuery, Looker, and advanced Google Sheets to build and maintain dashboards that serve as the single source of truth
- Identify manual bottlenecks in current reporting workflows and architect automated, scalable solutions
- Design, construct, and manage automated workflow solutions to eliminate repetitive manual work across commercial reporting and incentive management
- Partner with your Manager and the wider Revenue Operations team to translate complex datasets into clear, actionable insights for Commercial Leaders
Checkout.com values high performance, moving fast, thinking globally, and hiring exceptional people with conviction, curiosity, and desire to make an impact. The company operates across 20 offices on six continents with London as headquarters.
Requirements:
- 2–4 years of experience in Data Analytics, Revenue/Sales Operations, Finance, or a similarly analytical role within a fast-paced environment
- Qualification in Mathematics, Economics, Finance, or another highly quantitative degree
- Strong programming skills (Python, SQL) and hands-on experience with advanced developer tools and AI coding assistants like Claude Code
- Practical exposure to BigQuery for data manipulation and experience building scalable visualizations in Looker
- Advanced proficiency in Google Sheets, including complex formulas, large datasets, and financial modeling
- Meticulous eye for detail with ability to identify anomalies and opportunities in raw datasets
- Comfort with ambiguity and ability to pivot quickly in a fast-moving environment
- Software engineering mindset: apply version control, modular code, and automated testing to build robust, maintainable data pipelines
