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.

Skills and Competencies

• Knowledge of SQL: Ability to write and optimize queries for data extraction, transformation, and reporting. Familiarity with relational database systems like PostgreSQL, MySQL, or SQL Server is a plus
• Knowledge of Python for data manipulation: Hands-on experience with Pandas and NumPy for data processing, cleaning, and analysis. Familiarity with other Python libraries (such as matplotlib, seaborn, or scikit-learn) is advantageous for visualization or basic analytics
• Understanding of data architectures, data modeling, ETL processes, and data integration technologies
• English B2+ or Better
• Exceptional communication and interpersonal skills, capable of collaborating with diverse stakeholders and presenting complex ideas in a clear and concise manner to support organizational decision-making
• Excellent problem-solving and critical-thinking skills to recognize and comprehend complex issues, processes, and requirements regarding managing large data sets
• Preferred knowledge of Spark: Understanding of distributed computing frameworks for handling large datasets. Familiarity with PySpark or SparkSQL is highly preferred, especially for ETL processes and data operations at scale
• Preferred knowledge of Databricks: Experience with the Databricks platform for collaborative data engineering, machine learning, and analytics Familiarity with using Databricks notebooks, integrating Spark workflows, and leveraging Databricks for scalable data processing is a plus
• Preferred working experience in data operations, data management, data analytics, automation or a related role

Other considerations

• Must be willing to work across time zones effectively with stakeholders in India and Brussels primarily, which will call for early mornings
• Hybrid work with minimum 2 days in the office

Education

• Preferred Bachelor’s degree in Information Systems, Computer Science, Data Engineering, Data Science, Software Development, or related major. Ideally one year ahead of graduation
• Start Date: March 2026

Responsibilities

The Intern will contribute to the optimization of our North American Data Operations. You will be performing the end-to-end data operations process, ensuring the availability, integrity, and accuracy of data on our flagship product Orbis. This role will assist in creating new processes for our data pipeline, remediating observations in our data leveraging automation and rules engines as well as interrogating the data using data analytics skills.

• Data Quality Management: Execute and help to establish processes and methodologies to monitor, measure, and improve data quality across different data sources, ensuring data accuracy, consistency, completeness and uniqueness.
• Data Operations Optimization: Perform the necessary analysis to evaluate and enhance data operations processes, identifying opportunities to automate, streamline, and improve efficiency and effectiveness.
• Key Partnerships and Cross-Functional Collaboration: Partnership with key teams and cross-functional teams in order to reach our business objectives. This includes collaborating with Sales, Content and Product Strategy to develop knowledge on our customer’s use cases, understand business requirements and priorities to reach our business objectives. This role will also be collaborating with Technology, to help design and optimize data architecture, data model, and data pipeline. Support clients and internal stakeholders with data-related requests.

About the team

The Data Solutions division is the commercial data business of Moody’s Analytics, bringing together a vast catalog of data to help business decision-makers assess risks and opportunities. We are best known for Orbis, the world’s most comprehensive database of public and private companies. We are also the definitive source of ratings-related data for companies and securities that have been rated by Moody’s Investors Service. We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing, preparing, and accessing data, adding value when decisions need to be made. Any analytical activity depends on reliable and accessible data, and we are proud to be a mission-critical information resource for decision-makers around the world.

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.