Let's begin! Data Analyst Intern

Moody's•Charlotte, NC

1d•$35•Onsite

About The Position

Moody's is hiring multiple Data Analyst Interns to support the Cloud & Network Infrastructure team within the Technology Services Group, part of Moody's Shared Services. Depending on business need and candidate fit, interns will be aligned to one of several teams, including Process Engineering, Infrastructure Operations Management, Vulnerability Management, Technology Business Management, Connectivity Engineering, or Cloud Engineering. This role has a strong data engineering focus: interns will work across tools such as DataMart (an in-house compute and storage asset management tool), NetBox (a network asset management tool), ServiceNow's CMDB, and LogicMonitor (which monitors assets across the infrastructure environment) to help the team achieve complete data integrity across every area of infrastructure. Moody's 10-week summer internship program is a premier opportunity for students to immerse themselves in a hands-on learning experience, guided by Moody's commitment to integrity, excellence, and insight. The program takes place each summer from June - August. Internships are full-time, offering a comprehensive view of Moody’s business and culture, and a chance to build professional and technical skills. Programmatic elements include networking, mentorship, leadership speaker series and volunteering events. Interns complete project work determined by their team that have real impact, fostering a sense of accomplishment and professional growth. Throughout the internship, participants receive mentorship from Moody's professionals, gaining insights into diverse career paths and cultivate a comprehensive understanding of the company. Networking events and workshops further enrich the experience, providing a platform for professional development and collaboration. As a Moody's intern, you will gain real-world experience, turn inputs into actions, and be integral part of the team.

Requirements

Proficiency in Microsoft Excel, including formulas and pivot tables, to organize and analyze operational data
Familiarity with prompt engineering to use AI tools efficiently for completing tasks and troubleshooting data quality issues
Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency.
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

Nice To Haves

Working knowledge of SQL or another query language to extract, compare, and reconcile data across multiple systems
Familiarity with data visualization or business intelligence tools to present findings clearly
Strong analytical and problem-solving skills with close attention to detail, critical to identifying and resolving data discrepancies
Effective written and verbal communication skills to document and communicate data structures and findings to technical and non-technical audiences
Exposure to IT asset management or configuration management database (CMDB) tools
General understanding of cloud computing or network infrastructure concepts
Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Responsibilities

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 DataMart, NetBox, ServiceNow's CMDB, and LogicMonitor, 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