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.
