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.
Incentive Target Percentage
7.5% AnnualMorningstar'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 EntitySkills 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 with 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
Morningstar Compensation & Benefits Highlights
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Leave & Time Off Breadth — Policies include a paid sabbatical every four years and flexible PTO covering vacation, sick, and personal days, alongside paid volunteer time. Feedback suggests these features create meaningful flexibility and rest opportunities beyond standard leave plans.
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Parental & Family Support — A global minimum of 16 weeks paid parental leave for primary caregivers (up to 8 weeks for secondary) and at least six weeks of paid caregiving leave are publicly stated, with adoption assistance also available. These provisions indicate robust support for families during key life events.
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Retirement Support — U.S. materials document a 401(k) match of $0.75 per $1 up to 7% of pay and no‑cost access to Morningstar retirement tools. This combination strengthens long‑term savings and planning for employees.
Morningstar Insights
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
Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!
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Employees engage in a combination of remote and on-site work.
