Data Integrity Solutions Analyst
MUFG Investor Services View all jobs
- Dublin
- Permanent
- Full-time
- Translate business and data integrity needs into clear functional requirements for lineage, data quality, reconciliations, metadata, and MDM capabilities.
- Contribute to the logical design of data integrity solutions, including data rules, lineage models, reconciliation logic, and metadata standards.
- Perform data impact assessments on change initiatives, ensuring designs meet “data essentials” standards and best-practice principles.
- Assess proposed changes for impacts on data flows, ownership, controls, lineage, and quality, ensuring alignment with enterprise data architecture.
- Partner with technology teams to refine solution designs, prepare functional specifications, support handover for build, and validate delivered functionality.
- Use SQL and analytical techniques to explore datasets, validate assumptions, and provide evidence-based inputs into solution design.
- Support conceptual and logical data modelling activities to ensure alignment with enterprise data architecture.
- Maintain clear documentation, including requirements, specifications, data flows, and test evidence.
- 5+ years' experience in data analysis, data management, data architecture, or business analysis roles within complex enterprise environments.
- Strong analytical and problem-solving skills with advanced SQL and hands-on experience working with complex datasets.
- Experience analysing end-to-end data flows, including lineage, source-to-target mapping, integration patterns, and transformation logic.
- Clear communication and stakeholder engagement skills, able to translate technical concepts and solution designs into concise, actionable requirements.
- Solid understanding of data governance, metadata, ownership, and control concepts, and how they enable trusted and well-managed data.
- Experience contributing to the design or specification of data solutions such as lineage models, data quality rules, reconciliation logic, or MDM capabilities.
- Exposure to data quality, lineage, metadata, or MDM tooling - including enterprise platforms (e.g., Collibra, Purview, Informatica) and open-source tools (e.g., OpenLineage, Great Expectations).
- Exposure to data integration technologies or APIs and an understanding of how data moves and transforms across systems.
- Experience working in agile or iterative delivery environments, contributing to backlogs, refinement, and validation activities.
- Experience using scripting or analytical languages (e.g., Python) to support analysis, validation, or light automation is desirable.