Data Analyst Intern

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.

• Proficiency in Microsoft Excel, including formulas and pivot tables, to organize and analyze operational data; required
• Working knowledge of SQL or another query language to extract, compare, and reconcile data across multiple systems; preferred
• Familiarity with data visualization or business intelligence tools to present findings clearly; preferred
• Strong analytical and problem-solving skills with close attention to detail, critical to identifying and resolving data discrepancies; required
• Effective written and verbal communication skills to document and communicate data structures and findings to technical and non-technical audiences; required
• Exposure to IT asset management or configuration management database (CMDB) tools; preferred
• General understanding of cloud computing or network infrastructure concepts; preferred but not required
• Familiarity with prompt engineering to use AI tools efficiently for completing tasks and troubleshooting data quality issues; required
• Basic 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 use

• Currently pursuing a degree in a STEM field, such as Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or another quantitative discipline
• Graduation date between December 2027 - June 2029
• Availability to work the internship dates:
  June 7 - August 13, 2027

Support complete data integrity across Cloud & Network Infrastructure by documenting data structures, mapping data feeds, and reconciling sources.

• Document and publish data structures (schemas, field definitions, and relationships) for infrastructure and asset data, communicating them clearly across teams
• Learn and map how data feeds operate between systems such as Data Mart, Net Box, Service Now's CMDB, and Logic Monitor, including how data is captured, transformed, and synchronized
• Perform data reconciliation across these systems to compare values for the same assets, highlight discrepancies, and resolve them to prevent drift between data sources
• Collect, clean, and analyze infrastructure and asset data, prioritizing and fixing the most significant data quality issues to support the team's goal of complete data integrity
• Build and maintain dashboards and reports that track key metrics such as system performance, vulnerabilities, connectivity, and cost
• Partner with team members to gather reporting requirements and translate raw data into clear, actionable insights
• Present findings and recommendations to team members and stakeholders in a clear, concise manner
• Create or enhance standards and procedures documentation to support consistent, repeatable data processes across the team
• Support ad hoc data requests and special projects as assigned by the team

Moody's is hiring multiple Data Analyst Interns to support the Cloud…