Data Analyst Intern

Moody's Investors Service; Charlotte, Northern (NC, KY); Hybrid; USD 41,000 - 55,000; Full time

Job summary

Moody's Investors Service is seeking Data Analyst Interns to support the Cloud & Network Infrastructure team. The role focuses on documenting data structures, mapping data feeds, and reconciling sources across DataMart, NetBox, ServiceNow CMDB, and LogicMonitor.

Internships are full-time for 10 weeks, with projects driven by team needs. For US-based roles, the anticipated hourly rate is $35, dependent on experience, education, and location.

Qualifications

• Proficiency in Excel with formulas and pivot tables; required.
• Working knowledge of SQL or another query language; preferred.
• Familiarity with data visualization or BI tools; preferred.
• Strong analytical and problem-solving skills with attention to detail; required.
• Effective written and verbal communication to document data structures; required.
• Exposure to IT asset management or CMDB tools; preferred.
• General understanding of cloud computing or network concepts; preferred.
• Familiarity with AI prompt engineering to improve task efficiency; required.
• Interest in AI concepts and responsible AI practices; required.

Responsibilities

• Support data integrity across Cloud & Network Infrastructure by documenting data structures and reconciling sources.
• Document and publish data structures for infrastructure and asset data across teams.
• Map data feeds between DataMart, NetBox, ServiceNow CMDB, and LogicMonitor.
• Perform data reconciliation to identify and resolve discrepancies between sources.
• Collect, clean, and analyze infrastructure data to fix significant data quality issues.
• Build and maintain dashboards tracking metrics like performance, vulnerabilities, connectivity, and cost.
• Gather reporting requirements and translate data into actionable insights.
• Present findings and recommendations clearly to stakeholders.
• Create or update standards and procedures for repeatable data processes across the team.

Skills

Excel (formulas & pivots)

SQL or query language

Data visualization tools

Analytical problem-solving

Written & verbal communication

Prompt engineering for AI tools

Cloud concepts basics

Education

STEM degree (pursuing)

Graduation Dec 2027 - Jun 2029

Availability Jun 7 – Aug 13, 2027

Tools

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.

Applications for this position will be accepted from September 14 through September 28.

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 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.

For US-based roles only: the anticipated hiring hourly rate for this position is $35, depending on factors such as experience, education, level, skills, and location.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [e-mail]. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.

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.
For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody’s Compliance Expo page.
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.