MUFG Investor Services
Financial Services
DataIntegritySolutionsAnalyst-BusinessDataOffice–DataIntegrity&Operations
Neural analysis suggests this role is
optimal for mid candidates.
“Data Integrity Solutions Analyst - Business Data Office – Data Integrity & Operations at MUFG Investor Services. Skills: Data integrity solutions, Data analysis, SQL. Support design and enhancement of data integrity solutions. Analyse requirements”
What You'll Achieve.
Enable trusted, well‑governed data
Industry & Context.
analytical and problem‑solving skills
What They're Looking For.
Must Have
5+ years’ experience in data analysis, data management, data architecture, or business analysis roles, advanced SQL, experience analysing end‑to‑end data flows, Clear communication and stakeholder engagement skills, Solid understanding of data governance, metadata, ownership, and control concepts, Experience contributing to the design or specification of data solutions
Nice to Have
Exposure to data quality, lineage, metadata, or MDM tooling, Exposure to data integration technologies or APIs, Experience working in agile or iterative delivery environments, Experience using scripting or analytical languages (e.g., Python)
What You'll Do.
Support design and enhancement of data integrity solutions
Shape logical and functional solution designs
Assess data impacts of change
Ensure capabilities align with enterprise data standards
Translate business needs into requirements
Contribute to logical design of solutions
Perform data impact assessments
Assess proposed changes for impacts
Partner with technology teams
Use SQL and analytical techniques
Support conceptual and logical data modelling
Maintain clear documentation
How You'll Work.
Team & Collaboration
Working closely with technology, PMO, and business teams; Partner with technology teams; Stakeholder engagement skills
Communication Scope
Clear communication; Stakeholder engagement skills; Translate technical concepts; Concise, actionable requirements
Process & Methodology
Agile or iterative delivery environments, Contributing to backlogs, Refinement, Validation activities
Full Job Description
Experience something Brilliantly Different with a career at MUFG Investor Services. MUFG Investor Services is a trusted partner to many of the world’s largest public and private funds, providing asset servicing and operational solutions built for alternatives. With over $1 trillion in client assets under administration, we offer fund administration, banking, payments, fund financing, foreign exchange overlay, corporate and regulatory services, custody, business consulting, and more. Operating from 17 locations worldwide, we help clients mitigate risk, enhance efficiency, and navigate the operational complexities of today’s investment management landscape. As a division of Mitsubishi UFJ Financial Group (MUFG), one of the world’s largest financial institutions with approximately $3 trillion in assets, we combine deep expertise with the strength and stability of a leading financial institution. To learn more, visit us at [www.mufg-investorservices.com](http://www.mufg-investorservices.com/). You will support the design and enhancement of data integrity solutions across lineage, data quality, reconciliations, metadata, and Master Data Management (MDM). Working closely with technology, PMO, and business teams, you will analyse requirements, shape logical and functional solution designs, assess data impacts of change, and ensure new and enhanced capabilities align with enterprise data standards and enable trusted, well‑governed data across the organisation. * 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
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