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
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.
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