Data Quality 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. 

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+ year of demonstrable experience in data management and data transformation roles

• 2-3 years of Business/System/Data Analyst experience (knowledge of database structures, data lineage mapping, data governance reporting, data mappings, process flows, conceptual data modeling, among others.)

• Experience working with customers and/or users to understand data requirements, use cases and working with unstructured data.

• Experience using Master Data Management and Data Governance tools such as DBeaver, pgAdmin, Access, Collibra.

• Strong organizational skills, adaptability, and ability to balance multiple priorities.

• Strong communication skills to translate technical concepts to business concepts (both verbal and written) along with interpersonal skills with the ability to reach across the organization to acquire information.

• Experience with SQL a must, experience with Data Profiling, ETL and Data Reporting tools a plus.

• Understanding of Agile methodologies.

• Proficient in MS Excel (VBA, macros, VLookups, etc.), Word, and PowerPoint is required.

• Knowledge of Moody’s rating systems, analysis tools, and operational processes is a plus.

Education

• Undergraduate BA/BS degree in Business, Finance, Technology, Engineering or related field is required.

Responsibilities

• Perform data lifecycle analysis including data profiling, requirements gathering and documenting, data mappings, process and data design flows, data quality controls input, and testing assistance

• Investigate, analyze 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.

• Identify and assess a new and/or third party data source for use within a business workflow.

• Support team members to engage across key MIS partners to determine the data required to deliver the target state service solution, and map the end-to-end data lineage.

• Cleanse, 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.

• Challenge the status quo and provide an innovative way of thinking for out-of-the-box data solutions, data performance metrics and new or third-party data sources.

• Collaborate with our learning and process teams to develop data training, communication plans and roll-out plans for key data and technology changes.

• Establish and maintain a strong understanding of Moody’s business processes and data needs of the assigned business project and/or MIS Strategic objective.

• Support the team in the collection of data metrics (quality, operational, governance) and enablement of data controls and best practices.

• Define, document, and manage business and data requirements documentation.

• Develop and update supporting content and training materials (e.g., FAQs, presentations, training, SOP, etc.).

• Collaborate with key stakeholder cross-vertically and globally to support MIS’ strategy and activities.

• Identify inefficiencies in business processes and recommend improvements. Track improvements and monitor effectiveness.

About the team

Our Global Ratings Operations & Controls (ROC) team is seeking a Data Quality Analyst to assist in data improvement initiatives across the organization. They will work closely with cross-functional teams that adopt Agile operating methods. They will support the creation of data lineage flows, participate in designing data taxonomies, help define data elements and data concepts for end-users, support data migration into a modern, cloud-based data infrastructure. They will assist in multi-year initiatives that transform processes to enable digitalization and adoption of generative AI technologies. These initiatives include the full range of workflows, ratings and research, ESG and other activities.

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.