Data Management Analyst

Role Overview: At Moody's, you will be part of a team that transforms risks into opportunities by creating an inclusive environment where innovative thinking is encouraged. As a global leader in ratings and risk assessment, Moody's is leveraging AI to provide actionable intelligence that helps clients navigate uncertainty with clarity and confidence. Key Responsibilities: - Assist in the design, development, and implementation of data improvement initiatives across the organization. - Develop data lineage flows, design databases, and data taxonomies, define data elements and concepts, and support data migration into cloud-based infrastructure. - Support multi-year digitization and generative AI initiatives across workflows, ratings, research, and ESG. - Investigate, analyze, and improve data taxonomies and attributes for workflow datasets. - Assist in developing harmonized data requirements to enhance efficiency and quality. - Participate in defining data concepts, common reference data, and sound data usage practices. - Partner with technology, data, and process teams to establish next-generation data structure plans and governance. - Support User Acceptance Testing (UAT) for the Digital Ratings Platform (DRP). - Identify, clean, validate, and migrate data elements from legacy systems to modern infrastructure. - Design and monitor KPIs related to data processes and data quality. - Utilize SQL scripting to extract and analyze data patterns and standardization needs. - Work in Agile pods to define business data requirements and improve digital technology solutions. - Collaborate with learning and process teams to develop data training, communication, and rollout plans. Qualifications Required: - 4+ 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. - 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. - Bachelors degree in Computer Science, Information Systems, Data Management, or related field. About the Company: Moody's is dedicated to upholding the highest standards of data accuracy, consistency, and reliability through its Data Governance and Quality team. By joining Moody's, you will have the opportunity to be part of an exciting work environment where you will contribute to data improvement initiatives and collaborate with cross-functional teams to enhance data management processes. Role Overview: At Moody's, you will be part of a team that transforms risks into opportunities by creating an inclusive environment where innovative thinking is encouraged. As a global leader in ratings and risk assessment, Moody's is leveraging AI to provide actionable intelligence that helps clients navigate uncertainty with clarity and confidence. Key Responsibilities: - Assist in the design, development, and implementation of data improvement initiatives across the organization. - Develop data lineage flows, design databases, and data taxonomies, define data elements and concepts, and support data migration into cloud-based infrastructure. - Support multi-year digitization and generative AI initiatives across workflows, ratings, research, and ESG. - Investigate, analyze, and improve data taxonomies and attributes for workflow datasets. - Assist in developing harmonized data requirements to enhance efficiency and quality. - Participate in defining data concepts, common reference data, and sound data usage practices. - Partner with technology, data, and process teams to establish next-generation data structure plans and governance. - Support User Acceptance Testing (UAT) for the Digital Ratings Platform (DRP). - Identify, clean, validate, and migrate data elements from legacy systems to modern infrastructure. - Design and monitor KPIs related to data processes and data quality. - Utilize SQL scripting to extract and analyze data patterns and standardization needs. - Work in Agile pods to define business data requirements and improve digital technology solutions. - Collaborate with learning and process teams to develop data training, communication, and rollout plans. Qualifications Required: - 4+ 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. - 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. - Bachelors degree in Computer Science, Information Systems, Data Management, or related field. About the Company: Mo