Data Specialist

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. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. 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 Experience in data remediation, data quality management, data validation, and enrichment activities within large and complex datasets Strong analytical and problem-solving skills with the ability to identify data inconsistencies, trends, and root causes of recurring issues Advanced Excel skills and experience using data analysis tools to validate, reconcile, and report on data quality metrics Working knowledge of SQL for data validation, querying, and reporting purposes Familiarity with Jira, Salesforce, Databricks, or similar platforms used to manage data remediation activities and client cases Excellent attention to detail with the ability to maintain accuracy and consistency while managing high volumes of data Strong communication and stakeholder management skills, with the ability to collaborate effectively across operations, product, technology, sales, and external data provider teams Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use Education Bachelor’s degree in Business, Data Analytics, Information Systems, Computer Science, Finance, Engineering, or a related field preferred Equivalent combinations of education, certifications, and relevant professional experience will be considered Exposure to SQL, Python, Databricks, data governance, or data quality management certifications is considered a plus Responsibilities Support data quality initiatives by performing remediation, validation, and enrichment activities that improve the accuracy, completeness, and consistency of entity data. Review, correct, and enrich entity data to resolve inaccuracies, duplicates, and incomplete records Research and validate information using internal and external sources to ensure data accuracy and completeness Document remediation actions, decisions, and supporting rationale in accordance with established procedures Identify recurring data quality issues, trends, and patterns, and provide insights to support process improvements and quality standards Follow data governance, quality, and compliance requirements to maintain data integrity and support audit activities Create and maintain Jira tickets, documenting testing outcomes, remediation decisions, and supporting evidence Manage and follow up on client cases within Salesforce to ensure timely and effective issue resolution Collaborate with operations teams, Product Managers, Developers, Information Providers, and Sales teams to address data challenges and improve processes Prepare reports, dashboards, and status updates that communicate remediation outcomes and data quality improvements Leverage Excel, SQL, Databricks, Python, and approved AI tools to