Data Analysts

• Build and maintain the priority FX domain inventory — cataloguing business entities, attributes and relationships across the lifecycle.
  
• Prepare logical data-model artefacts, entity definitions, key attributes and modelling assumptions, and keep a prioritised register of model gaps and design decisions.
  
• Identify critical data elements and own the business data dictionary (definitions, formats, rules, producers, consumers, owners and authoritative sources).
  
• Map current-state data lineage and selected source-to-target journeys; surface manual hand-offs, duplicated data, transformation gaps and control points.
  
• Investigate priority data integrity and quality issues (completeness, consistency, timeliness, duplication, reconciliation) and document root causes plus recommendations.
  
• Analyse cross-system client, trade and transaction identifiers to support common reference requirements.
  
• Produce data-focused analysis packs and impact assessments for architecture, integration, migration and vendor discussions.
  

Requirements

• Bachelor’s degree in Information Technology, Computer Science, Information Systems, Data Management, Engineering, Mathematics or a related discipline.
  
• AWS Cloud Practitioner certification (minimum).
  
• 8 years of professional experience, including:
  
• 5 years in financial services
  
• 5 years in Business Analysis or Feature Analysis
  
• 5 years in Data Analysis
  
• Proven experience in Agile delivery environments and engaging senior business and technology stakeholders.
  
• Strong capability in requirements elicitation and management, business/feature analysis, user stories, acceptance criteria, workshop facilitation, process analysis and stakeholder management.
  
• Hands-on skills in data analysis, mapping, modelling, governance, lineage and quality analysis, plus testing support and validation.
  
• Solid SQL and data profiling skills; understanding of data warehousing, architecture concepts, metadata management and data-lineage tooling.
  
• Familiarity with reporting and analytics concepts, APIs and system integration, plus Jira and Agile tooling.
  

• Experience in foreign exchange, capital markets, treasury systems or front-office trading environments.
  
• Exposure to regulatory reporting and financial product data models.
  
• Work with AWS cloud data platforms, data migration programmes or enterprise data management frameworks.