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

• 1–3 years of experience in data operations, data management, data analytics, automation, or a related role
• Proficiency in SQL: Ability to write and optimize queries for data extraction, transformation, and reporting. Experience with relational databases like PostgreSQL, MySQL, or SQL Server
• Strong Python skills for data manipulation: Hands-on experience with Pandas and NumPy. Familiarity with visualization and analytics libraries such as matplotlib, seaborn, or scikit-learn
• Understanding of data architectures, data modeling, ETL processes, and data integration technologies
• Experience with data quality frameworks and best practices for ensuring data accuracy, consistency, and completeness
• English B2+ or better
• Excellent communication and interpersonal skills, with the ability to collaborate across global teams and present complex ideas clearly
• Strong problem-solving and critical-thinking skills to manage and analyze large datasets effectively

Preferred Skills

• Experience with Spark and PySpark for distributed data processing and scalable ETL workflows
• Presentation and Data Visualization Skills (Power BI, Tableau, QlikView or equivalent)
• Familiarity with Databricks for collaborative data engineering and analytics
• Knowledge of entity resolution, deduplication, and data matching techniques
• Exposure to Generative AI tools or frameworks for data enrichment or automation use cases
• Experience working in cross-functional environments with stakeholders in different time zones

Education

• Bachelor’s degree in Information Systems, Computer Science, Data Engineering, Data Science, Software Development, or a equivalent

Responsibilities

• Data Quality Management: Develop and execute processes to monitor and improve data quality across multiple sources
• Develop Data Deduplication Frameworks
• Data Operations Optimization: Analyze and enhance data operations workflows, identifying opportunities for automation and efficiency
• Cross-Functional Collaboration: Work closely with Sales, Content, Product Strategy, and Technology teams to understand business needs and optimize data pipelines and architecture
• Support internal and external stakeholders with data-related requests and insights
• Contribute to the evolution of our data estate, including Orbis and other flagship products, by ensuring data integrity and operational excellence
• Must be willing to work across time zones, especially with stakeholders in India, Brussels and Manchester (early mornings may be required)
• Hybrid work model with a minimum of 2 days in the office

About the Team

The Data Estate division is the commercial data business of Moody’s Analytics, best known for Orbis—the world’s most comprehensive database of public and private companies. We provide mission-critical data to decision-makers globally, eliminating the hassle of sourcing and preparing data while adding value through insight and accessibility

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.