Senior Data Analyst - Payment Operations

Job Description

THE ROLE

We are looking for a Senior Payment Operations Analyst who is passionate about our mission of Money Without Borders. You will partner with our Payment Operations organisation to help drive data-driven decisions that would improve the quality of our payment systems, making them smoother and more efficient.

The Payment Operations organisation is responsible for ensuring that our customers’ payments flow smoothly. The organisation focuses on resolving issues surrounding the movement of funds, to deliver a fast and convenient payment experience for our customers.

As a Senior Payment Operations Analyst, you will be driving our analytics effort to strengthen our quality assurance and control processes. You will identify how we can evaluate if payment processing flows are done right, and if not, what went wrong with them. You will own an attribution model to quality lapses, and work with other teams to improve the quality of payment processing. You will also be incorporating AI in your work, using AI to improve the quality review process.

This is a great opportunity for an analyst that has strong product thinking and is passionate about creating convincing analyses. It also allows you to work alongside the current developments in AI. You will also be part of a wider team of 150+ analysts that you can collaborate with on cross-team projects, have knowledge sharing sessions and bring ideas on how we can improve analytics across [Employer hidden].

This is an IC2 role. For more information on our Analytics Career Map and levelling structure, click here.

WHAT YOU’LL BE DOING

• Collaborate with various senior stakeholders in the organisation and effectively communicate your insights into real change for our customers. Join us in working towards our mission.
• Support the organisation’s drive to improve the quality of its processes by identifying payment flows that have met quality standards, and if not, identify the reasons for failing quality standards.
• Proactively contribute to, own, create and track key metrics and results for the organisation, keeping them accountable throughout the quarter. For example, understanding team quality KPIs and how each process intervention improves the organisation’s quality scores.
• Expose the vast amount of data available to the organisation in a meaningful and actionable way and support other teams in discovering insights from data.
• Support your team and the organisation by building and maintaining data pipelines, preparing reports, and creating visualisations.