Let's begin! Data Analyst Summer Intern

Moody's; Charlotte (NC); On-site; USD 2,755,000 - 4,133,000; Full time

Job summary

Moody's is hiring multiple Data Analyst Interns to support the Cloud & Network Infrastructure team within the Technology Services Gr.

Interns will document data structures, map data feeds, reconcile data, and build dashboards across DataMart, NetBox, ServiceNow CMDB, and LogicMonitor. Ideal candidates pursue STEM degrees and are available June 7–August 13, 2027, in Charlotte, NC.

Qualifications

• Pursuing STEM degree (Data Analytics, CS, IS, Stats, Math, Eng or similar).
• Graduation between Dec 2027 and Jun 2029.
• Availability to work internship June 7–Aug 13, 2027.

Responsibilities

• Document data structures (schemas, field definitions, relationships) for infra and asset data.
• Map data feeds between systems (DataMart, NetBox, ServiceNow CMDB, LogicMonitor).
• Perform data reconciliation to highlight discrepancies and prevent drift.
• Collect, clean, and analyze infrastructure and asset data; fix major quality issues.
• Build and maintain dashboards/reports tracking system performance, vulnerabilities, connectivity, and cost.
• Collaborate to gather reporting requirements and translate data into insights.
• Present findings to team and stakeholders clearly.
• Create/enhance standards, procedures for repeatable data processes; support ad hoc requests.

Skills

Excel (formulas & pivot tables)

SQL

Data visualization tools

Analytical thinking

Written & verbal communication

CMDB tools

Cloud computing concepts

Prompt engineering

AI concepts & responsible AI

Education

STEM degree in progress

Graduation 2027–2029

Availability: June 7–August 13, 2027

Tools

Data visualization software

DataMart

NetBox

ServiceNow CMDB

LogicMonitor

Job description

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 September 14 through September 28. We encourage interested candidates to apply early to ensure full consideration.

Skills and Competencies

• 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

Education

• 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

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

About the Team:

Moody's is hiring multiple Data Analyst Interns to support the Cloud & Network Infrastructure team within the Technology Services Gr