Data 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. 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 Strong analytical and problem-solving skills, with demonstrated experience supporting operational controls, business processes, data analysis, and business insights Ability to independently execute assigned work, apply established standards, and deliver accurate, high-quality, and timely results while exercising sound judgment and escalating issues as appropriate Proficient in structured data analysis using SQL and/or Python; experience with R, statistical analysis techniques, and data modeling concepts is a plus Hands-on experience with BI and reporting tools such as Tableau or Power BI, combined with advanced Microsoft Excel skills; familiarity with Jira, Access, or similar workflow management/data tools is advantageous Experience supporting data extraction, preparation, transformation, validation, and analysis across multiple data sources; exposure to Alteryx, data pipelines, ETL processes, or workflow automation is preferred Solid understanding of data quality principles, documentation standards, validation procedures, and control- minded analysis to support reliable dashboards, reports, and analytical outputs Interest in modern analytics practices, including automation, AI-enabled productivity tools, and scalable reporting solutions, with the ability to identify opportunities to improve efficiency and business processes through data-driven approaches. Awareness of responsible AI practices, including data governance, risk management, and ethical AI use, is preferred Effective written and verbal communication skills, with the ability to present findings, explain data issues, provide actionable recommendations, and translate technical concepts into clear business language Strong organizational and collaboration skills, with the ability to manage multiple priorities, work effectively with stakeholders, contribute positively within a team environment, and support continuous improvement efforts. Detail-oriented, intellectually curious, and committed to continuous learning, including applying feedback, developing technical expertise, and deepening business domain knowledge Education Bachelor’s degree in Business Analytics, Data Science, Statistics, Economics, Mathematics, Finance, Computer Science, or a related quantitative field preferred At least three years of related work experience in data analytics, business intelligence, operations, finance, or a related field Responsibilities The Data Analyst supports data analysis, dashboard development, data quality management, and process improvement initiatives that advance the Moody’s Ratings (MR) Business Intelligence and Process Measurement strategy. This role delivers reliable insights, reporting, and analytical solutions that enable informed decision-making, strengthen operational effectiveness, and improve the end-to-end credit rating process. Analyze complex datasets and develop Tableau dashboards to identify trends, patterns,