Data & Analytics Working Student

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. Applications for this position will be accepted from October 2 through October 16. We encourage interested candidates to apply early to ensure full consideration.

Skills and Competencies Experience or coursework in data and analytics tools such as Databricks, SQL, Python, Power BI, Excel, Jira, and Confluence, coupled with a strong interest in data, analytics, and using data-driven insights to solve business problemsAbility to research, synthesize, organize, and document technical information in a clear, accurate, and concise manner, adapting communication to different audiencesUnderstanding of data management, data quality, governance, reporting, business analysis, and process improvement principlesExperience or exposure to requirements gathering, stakeholder engagement, Agile delivery, testing/UAT, or operational improvement initiativesStrong analytical, problem-solving, communication, and collaboration skills, with excellent attention to detailStrong proficiency in Microsoft Excel and working knowledge of SQL for data analysis, validation, and comparisonBasic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency.

Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical useCurious and learning-oriented mindset, with the confidence to ask questions, challenge assumptions, explore new ideas, step outside your comfort zone, and continuously learn from othersEducation Currently pursuing a Master's degree in Computer Science, Information Technology, Data Science, Business Analytics, Operations Research, Business Engineering, Information Systems, Mathematics, Statistics, Economics, Business Administration, or a related fieldAbility to complete a 3-month internship, with the possibility of extension, and availability to start as soon as possibleResponsibilitiesAnalyze data, develop technical documentation, and support data quality, governance, and process improvement initiatives:Create and maintain clear, accurate, and well-structured technical and business documentation, including methodologies, business rules, requirements, process flows, user guides, and knowledge articlesResearch, analyze, and synthesize information from multiple sources to support documentation, decision-making, and project deliverySupport data quality, data governance, reporting, and data management initiatives through data analysis, validation, testing, and issue investigationCollaborate with business and technical stakeholders to gather requirements, document processes, and contribute to continuous improvement initiativesAssist in the design and validation of KPIs, dashboards, metrics, and reporting solutionsExplore opportunities to leverage analytics, automation, and AI to improve processes, efficiency, and data quality outcomesContinuously learn about Company Data products, processes, technologies, and industry best practices while contributing ideas and challenging existing approachesAbout the TeamOur Company Data team is responsible for managing and enhancing Moody's company data assets to ensure they are accurate, reliable, and fit for purpose.

We contribute to Moody's by driving data quality and governance, developing scalable data management frameworks and reporting solutions, and supporting business and product teams with trusted data and insights.By joining our team, you will be part of exciting work at the intersection of data, analytics, process improvement, and AI-enabled innovation, collaborating with global stakeholders to improve data products and business processes.

As Moody's continues to expand the use and adoption of AI, you will have opportunities to explore how AI-powered tools and responsible AI practices can enhance data quality, operational efficiency, documentation, and decision-making.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.