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
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
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
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.
- 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.
- 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.
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
More about this job
Responsibilities
The Data Governance Analyst will lead data governance and AI-readiness initiatives, including metadata management and data lineage mapping. They will also partner with cross-functional teams to ensure data integrity and support regulatory reporting processes.
Requirements
Candidates must have a bachelor's degree in a relevant field and 4–5 years of financial data experience. Proficiency in SQL and experience with data catalog platforms or database management are required.
Skills
- Data governance
- Metadata management
- Data lineage
- SQL
- MS SQL Server
- Data validation
- Data analysis
- Financial data
- Fixed income
- Data catalog platforms
- Communication
- Problem-solving
- Python
- Bloomberg
- Refinitiv Eikon
Benefits
- Incentive target percentage
- Hybrid work environment
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Finance & Accounting
- Technology
- Software
Keywords
- Data Governance
- AI-readiness
- Metadata Management
- Data Lineage
- SQL
- MS SQL Server
- DataHub
- Collibra
- Alation
- Informatica
- Microsoft Purview
- Financial Data
- Fixed Income
- Credit Ratings
- Capital Markets
- Bloomberg
- Refinitiv Eikon
- Python
- Data Validation
- Database Management
- Regulatory Compliance
- Data Products
- Data Quality
- Data Integrity
- Analytics