Data Governance Analyst, Credit Products

Morningstar; Madrid; Híbrido; EUR 38.000 - 51.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Competitive compensation and bonus

Descripción de la vacante

Morningstar DBRS seeks a Data Governance Analyst to shape how critical credit data is organized, governed, and prepared for analytics, reporting, and AI-enabled products. This role sits within the Data Products Team and partners with Product Management, Technology, Regulatory Compliance, Business Development, Data Management, and AI Enablement teams.

You will drive centralization of key data sets, strengthen governance standards, and work with data owners to capture high-quality metadata, data

Formación

• Bachelor’s degree in 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 SQLServer, 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 and the ability to manage multiple priorities independently.

Responsabilidades

• 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 dataaccuracydashboards and sample database queries to identify discrepancies and drive timely resolution.

Conocimientos

SQL

Data governance

Metadata management

Data lineage

Data quality

Communication

Educación

Bachelor’s degree in Accounting, Economics, Finance, Data Science, Management Studies, or related field

Herramientas

DataHub

Collibra

Alation

Informatica

Microsoft Purview

Descripción del empleo

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 withProduct 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 dataaccuracydashboards and sample database queries toidentifydiscrepancies and drivetimelyresolution.

Requirements

• Bachelor’s degree in Accounting, Economics, Finance, Data Science, Management Studies, ora relatedfield.

• 4–5 years of relevant financial data experience; fixed income data experience is a plus.

• Proficiencywith data collection, analysis, and validation tools.

• Experience with SQL, preferably MS SQLServer, anddata controls or catalog platforms such asDataHub, 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 governancebestpractices.

Base Salary Compensation Range

EUR 38,000.00-50,667.00

Bonus Target:

7.5% Annual

Base Salary Compensation Range

0.00-0.00

Bonus 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.