Senior Data Analyst​/Lead Data Analyst

Senior Data Analyst - AML ODS & Compliance Data Platforms

The Senior Data Analyst is responsible for providing end-to-end data analysis services across the AML Operational Data Store (AML ODS) and associated Compliance Data Platforms. The role supports strategic initiatives, regulatory programs, data governance, reporting, data quality management, testing, production support, and continuous improvement activities.

The incumbent will serve as the primary liaison between business stakeholders, compliance teams, technology teams, and data engineering teams to ensure business requirements are accurately translated into data solutions that meet regulatory, operational, and governance requirements.

• Engage with business, compliance, regulatory, and technology stakeholders to gather, analyse, and document requirements.
• Translate business and regulatory requirements into detailed functional and data specifications.
• Define business rules, transformation rules, acceptance criteria, assumptions, dependencies, and exclusions.
• Conduct source system analysis, data discovery, profiling, impact analysis, and gap assessments.
• Produce source-to-target mappings and data lineage documentation.
• Analyse impacts on data models, ETL processes, interfaces, reconciliation controls, dashboards, and downstream systems.
• Facilitate stakeholder workshops, walkthroughs, reviews, and approvals.

Support and lead data analysis activities for:

• NICE Actimize Alert and Case Data replication.
• ETL SIT and UAT alignment initiatives.
• Operational reporting and dashboard enhancements.
• EIW 10-Day Look-back reviews.
• Customer Party Rebaseline activities.
• IFTR Modernisation initiatives.
• SAP CRM discovery and integration assessments.
• Account Type to Party Type remediation.
• Access management and system integration improvements.
• Exclusion rule implementation and optimisation.
• Daily Reconciliation Snapshot enhancements.
• Remittance Data Quality Platform implementation.
• Data governance and protection initiatives.

• Define and maintain Critical Data Elements (CDEs).
• Develop and manage data quality rules, thresholds, controls, and remediation requirements.
• Perform data quality assessments and profiling.
• Maintain metadata, business glossary, lineage, and data catalogue artefacts.
• Support Microsoft Purview implementation and governance requirements.
• Ensure compliance with retention, destruction, TCR, audit, and regulatory requirements.
• Drive data governance best practices and standards.

• Develop SIT, UAT, regression, and production validation test scenarios.
• Create expected results and reconciliation requirements.
• Support defect management and root-cause analysis.
• Validate ETL, SQL, SSIS, reporting, and transformation outputs.
• Perform implementation validation and post-deployment verification.
• Ensure traceability between requirements, testing, and acceptance criteria.

• Monitor data loads, reconciliations, reporting outputs, and batch processing results.
• Investigate incidents, failed ETL jobs, data quality issues, and reporting discrepancies.
• Conduct root-cause analysis and impact assessments.
• Define corrective and preventative actions.
• Support production releases and change validation activities.
• Maintain operational support documentation and audit evidence.
• Identify automation opportunities and process improvements.
• Reduce technical debt through enhanced controls and monitoring.
• Improve reconciliation, validation, and reporting processes.
• Promote data quality and governance maturity across platforms.

• Strong SQL development and data analysis skills.
• Data…