Data Quality Analyst-Hybrid role in Charlotte

About the position

The Data Quality Analyst role within Moody's Global Ratings Operations & Controls (ROC) team focuses on enhancing data quality and management across the organization. The position involves collaborating with cross-functional teams to support data improvement initiatives, including data lineage flows, taxonomies, and migration to a modern cloud-based infrastructure. The analyst will play a crucial role in transforming processes to enable digitalization and the adoption of generative AI technologies, serving as a key liaison between business functions and technical teams.

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.

Requirements

• Undergraduate BA/BS degree in Business, Finance, Technology, Engineering or related field is required.
• 1+ year of demonstrable experience in data management and data transformation roles.
• 1-3 years of Business/System/Data Analyst experience (requirements, data mappings, process flows, conceptual data modeling, etc.).
• Experience working with customers and/or users to understand data requirements and use cases.
• Experience using Master Data Management and Data Governance tools such as DBeaver, pgAdmin, Access, Collibra.
• Knowledge of database structures, data lineage mapping, data governance reporting.
• Experience working with unstructured data.
• Experience with SQL a must, experience with Data Profiling, ETL and Data Reporting tools a plus.
• Understanding of Agile methodologies.
• Strong interpersonal skills are required, with the ability to reach across the organization to acquire information.
• Proficient in MS Excel (VBA, macros, VLOOKUP's, etc.), Word, and PowerPoint is required.

Nice-to-haves

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

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Parental leave
• Paid time off
• 401(k) plan with employee and company contribution opportunities
• Life insurance
• Disability insurance
• Accident insurance
• Discounted employee stock purchase plan
• Tuition reimbursement