Graduate, Data Analytics
Role details
Job location
Tech stack
Job description
As part of Checkout.com's #NextGen Graduate Program you'll work alongside experienced professionals, gaining hands-on experience and a comprehensive introduction to digital payments and technology. The program offers an extensive learning experience through technical training, professional development workshops, and direct access to industry experts. You'll be part of a global Early Careers, Graduate community, with regular networking events, mentoring opportunities, and social activities designed to build connections and accelerate your growth and leadership potential. By the end of the scheme, you'll be equipped with the knowledge, experience, and confidence to make a lasting impact at Checkout.com and beyond.
As a Graduate Data Analytics at Checkout.com, you will play a pivotal role in shaping how we measure performance and deliver insights. You will work through full analytics lifecycle from building high quality data products to deliver key insights impacting the direction of Checkout.com. You will have the support and mentorship of world-class data scientists and analytics engineers and work with a wide range of stakeholders from product managers to commercial leaders.
How You'll Make an Impact
- Build Data Foundations: Learn to design and implement high-performance, reusable data models within our modern data stack, enable users to access the products via our analytics tools
- Collaborate Across Teams: Work with product managers, engineers and analysts to translate complex business requirements into data insights to underpin our competitive advantage
- Own the performance: Continuously uncover insights, identify opportunities and help our teams to measure the ROI
Requirements
Do you have experience in SQL?, You're a curious, motivated, and innovative data analytics enthusiast, excited to dive into the world of digital payments and technical operations.
- Educational Background: A degree in a quantitative field (e.g., Computer Science, Engineering, Mathematics, Physics, Economics).
- Graduated by July 2026 or have graduated within the last 2 years.
- Technical Foundations: Proficiency in programming with Python, interrogating data with SQL and an awareness and curiosity of software is built.
- Problem Solver: You enjoy deconstructing complex problems and have a high attention to detail when it comes to "spotting the error."
- Eager to Learn: You are proactive, not afraid to ask "why," and have a genuine interest in Fintech and Analytics.
- Communication: Ability to explain your findings or logic clearly to both technical and non-technical peers.