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Checkout.com is a global fintech payments platform processing over 10 billion transactions yearly for companies like eBay, Spotify, Klarna, Uber, and Sony. This Associate role sits within the Finance Analytics team, bridging technical data architecture and enterprise treasury operations across a globally distributed organization.
You will serve as a critical translator between technical data teams and business stakeholders, communicating complex data findings into clear, actionable insights for cross-regional finance, engineering, and treasury teams. You'll take technical requirements and develop robust data pipelines and models to support treasury operations, working with modern tech stacks including dbt, Google BigQuery, and Snowflake. Your responsibilities include designing and maintaining automated, user-friendly treasury dashboards and reports using tools like Looker, Tableau, or Power BI, ensuring accuracy and alignment with business OKRs.
Beyond core analytics, you'll explore and implement AI, machine learning, and predictive analytics to enhance treasury insights, driving continuous improvement by evaluating new tools and methodologies. You'll extract, transform, and load complex datasets, ensure data architecture is scalable and optimized for rapid querying, and uncover key trends across treasury domains to support senior stakeholders. The role demands exceptional communication skills—both written and verbal—to distill technical complexity for diverse global audiences, alongside strong collaboration in a distributed environment.
Checkout.com operates with 20 offices across six continents, headquartered in London, and offers a hybrid working model with three days per week in the office to support collaboration.
QUALIFICATIONS:
- Bachelor's degree in Data Science, Computer Science, Mathematics, Finance, or related quantitative field (not mandatory)
- 2–4 years of experience in data analytics, data engineering, or business intelligence, preferably in fintech, banking, payments, or financial services
- Proven track record of collaborating and communicating effectively in distributed or cross-regional teams
- Advanced proficiency in SQL and cloud data warehousing (BigQuery and Snowflake specifically)
- Hands-on experience with data transformation tools (dbt)
- Strong expertise in building dashboards and visualizations in Looker
- Bonus: Practical experience or strong familiarity with integrating AI/ML models or leveraging Python/R for predictive analytics
