Senior Data Specialist

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’ experience in data operations, data management, analytics, or automation, enabling effective handling and transformation of large datasets

Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use

Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows

Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline development

Experience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasets

Strong communication and problem-solving skills to collaborate across global teams and translate complex data insights into actionable outputs

Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies

Ability to communicate technical concepts clearly to non‑technical stakeholders

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

Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field

Responsibilities

Support and enhance data quality and operations across multiple sources, ensuring reliable, scalable, and efficient data delivery.

Develop and execute processes to monitor, manage, and improve data quality across datasets

Design and implement data deduplication frameworks to improve data accuracy and usability

Analyze and optimize data operations workflows, identifying automation opportunities to increase efficiency

Collaborate with cross-functional teams (Sales, Product, Technology) to align data solutions with business needs

Support stakeholders by delivering data insights and responding to data-related queries

Contribute to the development and enhancement of enterprise data platforms, ensuring integrity and scalability

Maintain best practices in data governance, data modeling, and pipeline optimization

About the Team

Our Data Estate team is responsible for delivering high-quality, mission-critical data that powers decision-making across global markets. We provide comprehensive company data through flagship platforms such as Orbis, we enable clients to access, analyze, and act on complex datasets efficiently, and we drive continuous improvements in data quality, accessibility, and operational excellence. By joining our team, you will contribute to innovative data solutions supporting global customers across industries.

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.