Data Governance Analyst, Credit Products
Morningstar Madrid, Community of Madrid, Spain · €38K–€51K/yr
Financial Services · 10,001+ employees
About the role
The Data Governance Analyst will lead initiatives to organize and govern critical credit data while partnering with cross-functional teams to ensure AI-readiness. Responsibilities include managing metadata, mapping data lineage, and resolving data inconsistencies to support regulatory and reporting standards.
What they look for
Requirements
Candidates must hold a bachelor's degree in a relevant field such as Finance, Economics, or Data Science and possess 4-5 years of financial data experience. Proficiency in SQL and experience with data governance or cataloging tools are required for this role.
Benefits
Full description
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, Additional 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.
Base Salary Compensation Range
EUR 38,000.00-50,667.00
Bonus Target:
7.5% Annual
Base Salary Compensation Range
0.00-0.00Bonus Target:
We expect the compensation and target bonus for this role to fall within the stated range. The specific compensation offered will depend on the candidate’s qualifications, experience, and other job-related factors.
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.
