Let's begin! Data Management Analyst (7382)

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. 

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. 

Role/Responsibilities:

As part of Moody’s Investors Service (MIS), our Ratings Platform Development team leads the design and adoption of new processes and data workflows that enable digital transformation and scalability across the organization globally.

We are hiring a Data Management Analyst to assist in design, development and implementation of data improvement initiatives across the organization. They will work closely with cross-functional teams and data managers that adopt Agile operating methods. They will develop data lineage flows, design databases and data taxonomies, define data elements and data concepts for end-users, rationalise database content and support data migration into a modern, cloud-based data infrastructure and establish a data storage plan. They will support multi-year initiatives to transform Ratings and Research’s (R&R) work processes to support digitization and adoption of generative AI technologies. These include the full range of workflow, rating and research, ESG and other activities. These initiatives are directly tied to firm-wide objectives and would involve regular exposure to senior leaders around the business and technology improvements.

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:

• Investigate, analyse, and continuously improve data taxonomies and data attributes for key workflow data sets to support digital solutions
• Assist in developing an initial set of harmonized data requirements contributing to efficiency and quality enhancements
• Participate in the definition of data concepts, common reference data and establish sound data usage practices with relevant partners
• Partner with technology, data, and process teams to develop next generation data structure plan including creating databases, supporting data migration activities and establishing data governance practices
• Support User Acceptance Testing (UAT) for new Digital Ratings Platform (DRP)
• Collaborate across key MIS partners to determine the data required to deliver the target state service solution, and map the end-to-end data lineage
• Identify, clean, validate and migrate data elements from legacy databases to modern data infrastructure
• Assist in designing and monitoring key performance indicators related to key data processes and data quality, and monitor and report on observed process performance including to suggest data improvements
• Contribute to a rigorous and consistent framework to govern data changes and align this approach with partner teams
• Utilize SQL Script writing/execution to extract data to support data analysis
• Review data sets to provide insights on data patterns, data normalization, and data standardization recommendations
• Work in Agile pods to define business data requirements for digital technology solutions, identify any opportunities to improve and re-develop technology solutions with Product Owners
• Collaborate with our learning and process teams to develop data training, communication plans and roll-out plans for key data and technology changes

Qualifications :

• 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
• 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

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.