Job Description
The Role
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.
Total Cash Compensation (Base Plus Bonus Target) $59,900 to $87,850
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.
Compensation and Benefits
At Morningstar we believe people are at their best when they are at their healthiest. That’s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
Financial Health
100% 401k match up to 6% of salary
Stock Ownership Potential
Company provided life insurance - 1x salary + commission
Physical Health
Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
Additional medical Wellness Incentives - up to $300-$600 annual
Company-provided long- and short-term disability insurance
Emotional Health
Trust-Based Time Off
6-week Paid Sabbatical Program
6-Week Paid Family Caregiving Leave
Competitive 8-24 Week Paid Parental Leave
Adoption Assistance
Leadership Coaching & Formal Mentorship Opportunities
Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses
Tuition Reimbursement
Social Health
Charitable Matching Gifts program
Dollars for Doers volunteer program
Paid volunteering days
15+ Employee Resource & Affinity Groups
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.
Skills Required
- Bachelor's degree in Business, Economics, Finance, Data Science, or Management Studies
- 1-3 years of experience in data governance, data operations, analytics, or financial services
- Strong attention to detail and ability to work with time-sensitive, high-quality data
- Ability to analyze, reconcile, and validate datasets from multiple sources
- Proficiency in Microsoft Excel
- Strong written and verbal communication skills and ability to collaborate across teams
- Experience with databases or SQL
- Experience related to Structured Finance, credit ratings, or capital markets data
- Experience with data governance, metadata, or data quality frameworks
- Experience working with AI initiatives and projects
What the Team is Saying
What We Do
We are a global investment research and financial data company with 40-plus offices across North America, Europe, Australia, and Asia. Our products and services are used daily by individual investors, financial advisors, asset managers, retirement plan providers, and institutional investors. We provide data, research, and analysis across managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. The financial system can have real barriers—hidden information, friction that can slow decisions, and forces that can limit transparency and access. We work to remove them, bringing independent research, connected data, and investor-first tools to a system that needs more clarity. The people doing this work span research, technology, design, product, sales, and functional areas. We build many of our products in-house, so the work can connect directly to the tools investors use to make real financial decisions.
Why Work With Us
Morningstar’s missing is to empower investor success. We can only do that if our people feel empowered. That means finding people who think independently, bring a wide range of backgrounds with analytical rigor and genuine intellectual curiosity to the work.
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Morningstar Teams
Morningstar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Across most of our offices globally, employees work four days a week in the office and one day from home. We recognize that life doesn't always fit a fixed schedule and offer programs that can help provided increased workplace flexibility.
