MUFG Investor Services

Financial Services

DataIntegritySolutionsAnalyst-BusinessDataOfficeDataIntegrity&Operations

Halifax, Nova Scotia, Canada FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Data Integrity Solutions Analyst - Business Data Office – Data Integrity & Operations at MUFG Investor Services. Skills: Data integrity solutions, Data analysis, Data management, Data architecture, Business analysis, SQL, Data flows, Data governance, Metadata, MDM. Support the design and enhancement of data integrity solutions across lineage, data quality, reconciliations, metadata, and Master Data Management (MDM). Analyse requirements, shape logical and functional solution designs”

What You'll Achieve.

Enable trusted, well‑governed data across the organisation

Industry & Context.

Financial Services
Problems you'll solve

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 within complex enterprise environments, 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

Nice to Have

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

What You'll Do.

Support the design and enhancement of data integrity solutions across lineage

and Master Data Management (MDM)

shape logical and functional solution designs

Assess data impacts of change

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

Contribute to the logical design of data integrity solutions

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

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

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

How You'll Work.

Team & Collaboration

Working closely with technology, PMO, and business teams; Partner with technology teams to refine solution designs, prepare functional specifications, support handover for build, and validate delivered functionality

Communication Scope

Clear communication and stakeholder engagement skills; Able to translate technical concepts and solution designs into concise, actionable requirements

Process & Methodology

Agile or iterative delivery environments, Contributing to backlogs, refinement, and 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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