LOCATION(S):

• MIS Support Center, 4th floor, East Tower, Eurocenter Business Center, in front of Cenada, Heredia, 40104, CR
  Line Of Business: ROC(ROC)

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.

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.

LI-Hybri

• 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.