Senior Data Analyst

Summary of Role

Support the design of the FX target-state data model and establish a fact-based understanding of how data is structured, owned and moves across the FX value chain. Provide shared data foundations and evidence for programme design decisions. [1]

Responsibilities

• Establish the priority FX domain inventory and catalogue business entities, attributes and relationships across the lifecycle.
• Prepare logical data-model artefacts, entity definitions, key attributes and modelling assumptions; maintain a prioritised register of model gaps and design decisions.
• Identify critical data elements and maintain a business data dictionary covering definitions, formats, business rules, producers, consumers, owners and authoritative sources.
• Map current-state data lineage and selected source-to-target journeys; identify manual hand-offs, duplicated data, transformation gaps and control points.
• Investigate priority data integrity and quality issues, including completeness, consistency, timeliness, duplication and reconciliation; document root causes and recommendations.
• Analyse cross-system client, trade and transaction identifiers to support common reference requirements.
• Prepare data-focused analysis packs and impact assessments for architecture, integration, migration and vendor discussions.
• Support Analyst 2 with consistent definitions, model inputs and shared identifiers; participate in Agile ceremonies, document dependencies and transfer knowledge.

Qualifications

• Bachelor's degree in Information Technology, Computer Science, Information Systems, Data Management, Engineering, Mathematics or a related discipline.
• AWS Cloud Practitioner certification as a minimum.
• 8 years of professional experience.
• 5 years of financial services experience.
• 5 years of Business Analysis or Feature Analysis experience.
• 5 years of Data Analysis experience.
• Experience working in Agile delivery environments and engaging senior business and technology stakeholders.

Technical skills

• Requirements elicitation and management; business and feature analysis; user stories; acceptance criteria; workshop facilitation; process analysis and stakeholder management.
• Data analysis, mapping, modelling, governance, lineage and quality analysis; testing support and validation.
• Backlog management and Agile delivery support.
• SQL and data profiling; data warehousing and architecture concepts; metadata management and data-lineage tooling.
• Reporting and analytics concepts; understanding of application programming interfaces and system integration; Jira and Agile tooling.

Advantageous Experience

• Foreign exchange, capital markets, treasury systems and front-office trading environments.
• Regulatory reporting and financial product data models.
• AWS cloud data platforms, data migration programmes and enterprise data management frameworks.
• Relevant Business Analysis, Agile and Data certifications.