Data Management Analyst

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 

Skills and Competencies

• 2+ years of experience in data management and data transformation, including working with unstructured data
• Knowledge of data governance principles, database structures, data lineage mapping and governance reporting
• Experience working with customers and users to understand data requirements and use cases
• Understanding of Agile methodologies to work effectively in product-focused teams
• Strong problem-solving skills to resolve data quality and process challenges
• Excellent communication skills, with the ability to simplify complex themes for diverse audiences
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
• Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Education

• Bachelor's degree in Computer Science, Statistics, Accounting, Finance or a related field

Responsibilities

Support data improvement initiatives for Structured Finance analytics tools and workflows, from data lineage and taxonomies to cloud data migration.

• Assist in designing, developing and implementing data improvement initiatives for Structured Finance analytics tools and workflows, under the guidance of senior data management team members
• Develop data usage strategies that optimize data quality, efficiency and operational effectiveness
• Collaborate with cross-functional teams and partners to translate business needs into data requirements and map end-to-end data lineage for the target-state service solution
• Design and maintain databases, data dictionaries and taxonomies, and define data elements and concepts for end users, to ensure data consistency and integrity
• Establish data governance practices, including data standards, policies and procedures
• Analyze data to identify trends, patterns and insights that inform the prioritization of digital enablement
• Work with Information Technology teams to define data migration requirements and ensure a smooth transition from legacy systems to modern, cloud-based data infrastructure
• Identify, clean, validate and migrate data from various sources
• Develop and monitor key performance indicators for data quality and process performance
• Work in Agile teams with Product Owners to define business data requirements and identify opportunities to improve and redevelop technology solutions
• Challenge the status quo by proposing innovative data solutions, performance metrics and new or third-party data sources
• Partner with learning and process teams to develop data training, communication and roll-out plans for key data and technology changes

About the Team

The Ratings Process and Data team is responsible for driving digital change across various areas including analytics, workflows, content production, and ESG services. This team collaborates with different stakeholders, Product Management, User Experience designers, developers, and others to improve current processes, identify necessary data, and simplify initiatives. The team operates in an Agile, product-focused model to deliver digital solutions and enhancements. 

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.