• Your key responsibilities will include:Leading discovery workshops, stakeholder interviews and requirements-gathering sessions.
• Translating functional and business needs into technical and data requirements.
• Producing user stories, acceptance criteria, business rules and detailed specifications.
• Mapping end-to-end processes, data flows, transformations and integration requirements.
• Defining data mappings, reconciliation rules, data-quality requirements and calculation logic.
• Using SQL for data profiling, validation, reconciliation and issue investigation.
• Completing impact assessments across source systems, data platforms, integrations, reporting and downstream consumers.
• Supporting backlog refinement, testing, defect triage, business validation and implementation readiness.
• Maintaining traceability across requirements, solution designs, delivery items and implemented outcomes.
• Managing risks, assumptions, dependencies and scope across multiple delivery streams.
• Ensuring privacy, security, governance, lineage and regulatory requirements are considered throughout delivery.

• What you’ll need to succeedYou will be an experienced Technical Business Analyst or Data Business Analyst with strong knowledge of enterprise data platforms and data warehousing. Alternatively, you may have started your career in Data Engineering before moving into a Business Analysis role.You will bring:Strong experience delivering complex data, integration, analytics or reporting projects.
• Banking or financial-services experience.
• The ability to manage multiple projects and delivery streams concurrently.
• Practical experience working across discovery and solution design phases.
• Strong SQL skills and a sound understanding of ETL or ELT processes.
• Experience producing data mappings, transformation rules, process flows, specifications and traceable requirements.
• Knowledge of data warehousing, data integration, storage, modelling, quality and lineage.
• Experience working with engineers, analysts, architects, governance specialists, risk teams and Product Owners.
• Strong stakeholder engagement, workshop facilitation and communication skills.
• The ability to explain complex data and technology concepts to both business and technical stakeholders.

Experience with Microsoft Azure, Azure Data Factory, Azure DevOps, Databricks, Azure SQL, Microsoft Fabric, Power BI or comparable cloud data platforms will be highly regarded.