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Added 9 mins ago
SI
Director - Medical Information
Soterius, Inc.
Canada
- Contract
Lead process improvements, SOP development, and technology-enabled solutions
Added 1 hour ago
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- Full-time
Lead requirements elicitation through interviews, workshops, job shadowing, surveys, process observation, and document review.
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- Full-time
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- Full-time
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Added 6 hours ago
CO
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- Full-time
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AB · Edmonton, AB
- Full-time
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Added 11 hours ago
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Associate Technical Consultant
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Added 12 hours ago
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Manager, Infrastructure and Cloud Services
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- $120,000 to $160,000 CAD / year
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Added 12 hours ago
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Added 12 hours ago
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Senior Technical Consultant
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Calgary, AB · Edmonton, AB
- Full-time
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Added 15 hours ago
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Added 16 hours ago
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Added 17 hours ago
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Added 17 hours ago
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Added 17 hours ago
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Morningstar

Data Governance Analyst

Toronto, ON, Canada

$47,476.00-$69,634.66 · Full-time

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Job details

Pay: $47,476.00-$69,634.66
Job type: Full-time
Experience: 4–5 years of relevant financial data experience; fixed income data experience is a plus.
Posting language: English
Posted: Sep 18, 2026

Original job description

About the Role:

Morningstar DBRS is looking for a Data Governance Analyst to help shape how critical credit data is organized, governed, and made ready for analytics, reporting, and AI-enabled products. This role sits within the Data Products Team and partners closely with Product Management, Technology, Regulatory Compliance, Business Development, Data Management, and AI Enablement teams. You will support a strategic effort to centralize key data sets, strengthen governance standards, and work with data owners to capture high-quality metadata.

Responsibilities

Lead data governance and AI-readiness initiatives, including metadata management, data dictionary maintenance, and data lineage mapping.

Investigate, resolve, and document data issues with stakeholders across the business.

Support regulatory and reporting processes by aligning data requirements with regulatory standards.

Partner with AI Enablement and Product teams to make trusted data assets available to downstream applications and AI agents.

Serve as a key contact for data inconsistencies, data maintenance questions, and issue resolution.

Review data requirements for new initiatives to promote integrity, consistency, and reuse.

Coordinate data validation in current systems, working independently and with cross-functional resources as needed.

Support external data feeds and help resolve client data issues.

Contribute to projects that streamline and improve data processes.

Monitor data accuracy dashboards and sample database queries to identify discrepancies and drive timely resolution.

Requirements

Bachelor’s degree in Accounting, Economics, Finance, Data Science, Management Studies, or a related field.

4–5 years of relevant financial data experience; fixed income data experience is a plus.

Proficiency with data collection, analysis, and validation tools.

Experience with SQL, preferably MS SQL Server, and data controls or catalog platforms such as DataHub, Collibra, Alation, Informatica, Microsoft Purview, or similar tools.

Experience working with large data sets and exposure to database management.

Strong communication, collaboration, troubleshooting, and problem-solving skills.

High attention to detail, sound judgment, and the ability to manage multiple priorities independently.

Curious, motivated team player with a positive attitude and strong work ethic.

Preferred Skills

Experience with Bloomberg and/or Refinitiv Eikon.

Knowledge of fixed income, credit ratings, or capital markets.

Experience with Python.

Familiarity with data governance best practices.

Morningstar is an equal opportunity employer.

If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentially to our Compliance team. These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.

Base Salary Compensation Range

$47,476.00-$69,634.66

Incentive Target Percentage

7.5% Annual

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

R06_DBRSInc DBRS, Inc. - US Legal Entity

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More about this job

Responsibilities

The Data Governance Analyst will lead initiatives to organize and govern critical credit data while ensuring AI-readiness and metadata integrity. They will partner with cross-functional teams to resolve data issues, support regulatory reporting, and maintain high-quality data standards.

Requirements

Candidates must hold a bachelor's degree in a relevant field such as Accounting, Economics, Finance, or Data Science. The role requires 4–5 years of financial data experience, proficiency in SQL, and familiarity with data governance or cataloging tools.

Skills

Data Governance
Metadata Management
Data Lineage
SQL
MS SQL Server
Data Analysis
Data Validation
Regulatory Compliance
Data Dictionary
Data Quality
Communication
Problem-solving
Troubleshooting
Financial Data
AI Enablement

Benefits

Hybrid work environment
Flexibility

Visa sponsorship

Not detected in the job text

Keywords

Data Governance
Metadata Management
Data Lineage
SQL
MS SQL Server
DataHub
Collibra
Alation
Informatica
Microsoft Purview
Bloomberg
Refinitiv Eikon
Python
Fixed Income
Credit Ratings
Capital Markets
Data Quality
Regulatory Compliance
AI Enablement
Data Dictionary
Data Validation
Database Management
Financial Data
Data Analytics

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