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Data Analyst, Payment Success

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Onsite

Data Analyst, Payment Success

Checkout.com

Data Analyst, Payment Success

Skills

SQL QueriesPythonDatabricksData AnalysisMachine LearningRetool

11 days ago

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Important information


Contract type:

Permanent

Location:

Shanghai, China

Work mode:

Onsite

Published on:

15 October 2026

What they need


We’re Checkout.com – you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen.

Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why.

With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech.

Job Description

Checkout.com is looking for a Data Analyst to join our Payment Success team to craft an all-encompassing payments strategy tailored specifically for our Tier-1 merchants.

You will be the main point of contact for a merchant regarding their payment performance and will play a critical role in defining, delivering and building tools for the right insights to showcase the value of our optimal payment strategies.

You will work closely with Payment Performance engineers and data scientists leveraging cutting-edge technology and data insights. You will also collaborate regularly with other teams and cross-functional stakeholders to establish priorities and drive merchant performance improvements.

How you’ll make an impact

  • Deliver expertise and guidance to our key merchants by crafting optimal payments strategy.
  • Conduct deep-dive exploratory data analysis to uncover insights and anomalies
  • Conduct experiments and A/B tests to improve performance, including ML based solutions.
  • Develop cutting-edge automation tools aimed at monitoring and optimising merchants’ performance.
  • Implement robust measurements to assess how proposed solutions impact merchants' performance and revenue, providing valuable insights for both internal and external ROI.
  • Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development
  • Elevate internal awareness, particularly within the executive team, regarding the full spectrum of merchant services and benefits provided
  • Drive a culture of cross-team learning and knowledge sharing

Qualifications

  • 3+ years experience as data scientist, working with large and diversified data sets
  • Bachelor’s degree, preferably in Mathematics / Statistics / Computer Science / Engineering, Finance or equivalent
  • SQL/ Python knowledge to extract & analyse data from our Data Warehouse
  • Experience with Git & Spark, Databricks, Retool, API
  • Ability to find creative and effective solutions for business problems
  • Flexible, adaptable and has a willingness to learn
  • Payments or Fintech experience is a plus

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