Senior 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 A strong understanding of entity data (e.g., firmographics, demographics) is required to lead quality assurance efforts and ensure data consistency. Demonstrated ability to design, manage, and improve QA frameworks and data validation processes is necessary for monitoring data accuracy over time. Proficiency with SQL and Microsoft Excel is essential for performing complex data analysis, validation, and quality audits. Proven experience in root cause analysis is required to identify, track, and resolve complex data quality issues and prevent future errors. Excellent problem-solving and communication skills are essential for collaborating with stakeholders, documenting processes, and reporting on data quality improvements. Experience mentoring junior team members is necessary for guiding specialists in applying best practices and maintaining high accuracy thresholds. Education A Bachelor's or Master's degree is required, preferably in Commerce, Mathematics, Data Science, Statistics, Computer Science, Economics, or a related field. Requires 3 to 5 years of experience in a data quality, analysis, remediation, or governance role. Responsibilities This role leads quality assurance efforts for our entity data, ensuring its accuracy, consistency, and reliability through rigorous validation, process improvement, and governance. Lead and execute end-to-end QA processes for entity data, including validation, audit trails, and compliance checks. Design, implement, and maintain QA frameworks, data quality scorecards, and performance metrics to monitor and improve data integrity. Perform root cause analysis to proactively identify recurring data quality issues, patterns, and sources of error. Collaborate with and mentor junior specialists, guiding them in applying remediation best practices and maintaining high accuracy thresholds. Document and communicate remediation actions, process improvements, and data quality challenges to stakeholders. Create and refine remediation checklists and quality standards based on observed trends and validation outcomes. Support the preparation of reports or dashboards summarizing remediation outcomes and overall data quality improvements. About the team Our Data Estate team is responsible for managing, enriching, and validating the entity data that powers Moody's financial intelligence products. We provide the trusted foundation clients rely on for risk assessment and decision-making. By joining our team, you will be part of the critical work contributing to a world-class data platform that helps businesses navigate the global marketplace. 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.