Senior Data Analyst - Payment Success

We empower businesses in the digital economy, and we know that every payment counts. Our Payment Performance team’s mission is to manage and optimise merchants' payment flow, to achieve optimal conversion, compliance, and cost.

Checkout.com is looking for a Senior 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. You 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.

What you’ll be doing:

• 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.

Desired Candidate Profile

Qualifications

• 5+ years experience as a data scientist, working with large and diversified data sets.
• Payments experience is mandatory for this role.
• 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.