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 Understanding of Agile methodologies Knowledge of database structures, data lineage mapping, data governance reporting, SQL Experience working with unstructured data Experience working with customers and/or users to understand data requirements and use cases Proficient communication skills to simplify complex themes Education 3+ years of demonstrable experience in data management and data transformation roles Experience using Master Data Management and Data Governance tools such as SQL, dBeaver, Access, Collibra Role and responsibilities The Data Management Analyst role will assist in defining, managing and governing the data used across several product workflows, acting with support from senior data team members. Core accountabilities include: Lead data taxonomy, attribute, and requirement definition to improve data quality, efficiency, and enable digital solutions. Partner with technology, data, and process teams in Agile pods to design future‑state data structures, governance, and migration to modern platforms. Support end‑to‑end data migration activities including data cleansing, validation, lineage mapping, and legacy modernization. Enable digital platforms (including DRP) through UAT support, SQL-based data analysis, KPI tracking, and continuous data improvement. Contribute to change adoption through data governance frameworks, training, and communication plans aligned with enterprise objectives. About the team The ROC Data Governance & Quality team drives data and process design and change management for scalable digitisation across critical business initiatives including workflows, analytics and ESG services. The group works collectively with stakeholders in other lines of business, Product Management, User Experience designers, developers, control functions and others to document current state processes, define critical requirements for improvement, identify and map required data elements and lead simplification initiatives. The group works in an agile, product-centric operating model that delivers digital solutions and incremental improvements to process, data, and user tools. 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.