Senior Data Analyst/BA

• Business Analysis & Requirements Engineering: Lead workshops with Supervision teams and business stakeholders to translate complex regulatory challenges into clear business/technical requirements, functional specifications, and analytical blueprints.
• Hands-on Data Analysis & Validation: Query, profile, and blend large-scale, multi-source regulatory datasets (authorisations, holdings, transactions) using SQL to identify anomalies, test data quality, and model business logic.
• Programme & Systems Acceptance Testing: Lead systems acceptance testing (UAT) for the new regulatory reporting regime, ensuring data usability, robust validation controls, and alignment with supervisory operational needs.
• Data Visualisation & Automation: Design and build automated, self-service Tableau/Power BI dashboards and Management Information (MI) to transition business teams away from manual spreadsheet tracking.
• External Integration & Enrichment: Oversee dataset enrichment by validating Legal Entity Identifiers (LEIs) and integrating external data feeds (GLEIF, Companies House, market proxies).
• Future-State Capability: Support the evolution of the platform’s analytics maturity by specifying continuous monitoring tools, predictive early-warning indicators, and automated reporting frameworks.

We are seeking a Security Cleared (SC) Senior Data Business Analyst with strong hands-on technical capabilities to bridge the gap between regulatory requirements and core data architecture. Embedded within a live testing programme for a major new regulatory reporting regime, you will drive supervisory effectiveness by translating complex entity and regulatory data into actionable insights, automated tools, and production-ready analytical blueprints., * SQL & Data Analysis: Strong hands-on SQL skills for querying, analyzing, and profiling large-scale data across complex, multi-source environments.

• Cloud & Modern Data Stack: Working familiarity with cloud-based data environments (specifically AWS services like S3, Athena, and DynamoDB).
• BI & Visualisation: Proven experience developing interactive dashboards and reporting tools in Tableau or Power BI.
• Data Business Analysis: Proven track record in requirement gathering, process mapping, UAT/testing management, and bridging business needs with technical delivery.
• Data Quality & Governance: Solid understanding of data validation, quality frameworks, LEI structures, and core data architecture principles within large institutions.
• Domain Knowledge: Demonstrable background within Financial Services, Central Banking, or Regulatory Data Regimes.
• Security Clearance: Active Security Clearance (SC) is mandatory for this role.

Core Competencies

• Stakeholder Management: Exceptional capability to reconcile competing business priorities, run effective workshops, and communicate technical concepts clearly to non-technical stakeholders.
• Proactive Ownership: Self-directed operator who can establish analytical direction, maintain delivery momentum, and resolve complex roadblocks with minimal oversight.
• Strategic Agility: Ability to rapidly absorb complex domain knowledge, adapt to shifting regulatory priorities, and drive cross-functional alignment.