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Data Business Analyst, Payments & Reporting Data Platform
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Join us as a Data Business Analyst
You'll play a critical role in shaping how the bank's payments and statement reporting data is structured, migrated and used, across ISO 20022, SWIFT and file-based channels. You'll be working in a vibrant, forward-looking team, helping us to shape the future of our business. It's an opportunity to deepen your payments data expertise and influence how data and AI tools are used across the domain.
What you'll do
In your new role, you'll be supporting the analysis of complex cross-franchise and pan-group requirements, while capturing, validating and documenting business and system requirements and making sure that they are in line with key strategic principles. In the course of your work, we'll also look to you to build, manage and maintain a positive working relationship with stakeholders and third-party suppliers across multiple franchises and functions.
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You'll Also
- Profile, map and reconcile payments and statement data across legacy and target platforms
- Trace and link business requirements through to future state design, supporting data migration, implementation and cutover activities
- Use monitoring and analytics tools to investigate data flows, incidents and reporting issues, translating findings into business requirements and solutions
- Design and execute test scenarios, support user acceptance testing and help validate solution designs throughout delivery
- Support customer-facing channels such as Bankline Direct Digital by defining the data behind their statements and reports
- Help shape customer-facing reporting and statement solutions while using AI-powered tools to improve data analysis, and support continuous improvement
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The skills you'll need
You'll need a highly analytical mindset, strong organizational skills, and the ability to manage competing priorities effectively.
You'll Also Need
- Working knowledge of ISO 20022 messaging standards, particularly camt and pacs messages, as well as SWIFT MT statement formats
- Experience applying business analysis tools, techniques, and methodologies to deliver successful outcomes
- Experience using observability or monitoring tools such as Grafana, Datadog, or Splunk, alongside cloud platforms such as AWS
- Experience delivering data or migration analysis within cloud-based environments
- Knowledge of AI tools used within the data analytics space
- Strong stakeholder management across engineering, operations, and third parties
Hours
35
Job Posting Closing Date
07/10/2026
Ways of Working
Hybrid
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