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Justt

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Payment Integrations Analyst

Discussion

Summary

The Payments Integrations Analyst ensures chargeback data accuracy by researching payment service providers, mapping and validating external data, monitoring systems, and bridging operations with engineering, using SQL and AI‑enhanced tools.

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.

This role also acts as a connective layer between Operations and Engineering — translating operational issues into technical investigations, and technical findings back into clear operational context.

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, dashboards, and application logs to identify data anomalies, errors, or breakdowns in the chargeback lifecycle
  • Serve as a bridge between Operations and Engineering — triage incoming issues, investigate them technically, and escalate with clear, reproducible context when developer involvement is needed
  • 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, 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


Requirements

What You Bring

  • At least 2–3 years of experience in a tech company or fintech startup
  • Strong analytical mindset with the ability to detect and resolve data irregularities
  • Technically hands-on — comfortable reading application logs and navigating monitoring/observability tools to investigate issues independently
  • Comfort working with data and dashboards
  • Proficiency in SQL for querying and data validation
  • Excellent attention to detail with strong organizational and problem-solving abilities, ownership mentality and a bias for action
  • Strong communication and documentation skills
  • Fluency in English

Nice to Have

  • Familiarity with payments, disputes, and/or chargeback workflows — Big Advantage
  • Experience working with PSP portals, merchant reporting dashboards, or chargeback platforms — Big Advantage
  • Familiarity with observability/monitoring tools (e.g. Groundcover, Datadog, Kibana) — Advantage
  • Interest in and potential to grow into a Scrum Master / process-owner role — comfortable driving cadence, coordinating across teams, and improving workflows
  • Comfort learning new systems, tools, and automation technologies


See also

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