Payments Analyst

Justt helps many of the world’s largest and most recognizable brands turn chargebacks from a constant headache into a managed, predictable part of doing business. Our AI-driven platform powers chargeback operations at scale, automating disputes end to end, recovering revenue that would otherwise be lost, and removing a major operational burden from finance, risk, and operations teams across multiple regions and verticals.

We’re a global company with teams across markets, and disciplines, working closely with leading players in the payments ecosystem. Our culture is built on clear thinking, collaboration, and a strong sense of ownership. At Justt, you’ll partner with product, engineering, data, success and go-to-market teams to build technology that sits at the core of modern payments, and has a direct, measurable impact on the bottom line for some of the biggest companies in the world.

Role Overview

The Payments Analyst plays a critical role in ensuring the accuracy, consistency, and integrity of chargeback-related data across multiple platforms and internal systems. This position combines strong research, analytical and technical skills with cross-functional collaboration to support efficient chargeback management operations and enhance data-driven decision-making.

What You’ll Do

• Research payment service providers (PSPs) and acquire knowledge of their data structures, workflows, and reporting standards
• Map, normalize, and validate data from external systems to align with internal data
• Monitor key operational systems and identify data anomalies, errors, or breakdowns in the chargeback lifecycle.
• Conduct root-cause analysis to resolve data discrepancies and ensure accurate case handling and reporting outcomes.
• Query internal databases using SQL to analyze trends and troubleshoot issues
• Collaborate with multiple teams – including product, operations, and engineering – to resolve edge cases, to maintain data integrity and support system enhancement
• Communicate with PSP representatives as needed to clarify data formats, investigate issues, and ensure proper integration.
• Leverage AI tools to enhance data processing, research, and workflow efficiency (or demonstrate willingness to adopt new technologies).
• Contribute to internal process documentation and best practices.