Data Specialist (Entity Resolution)

This role supports entity resolution and data quality initiatives across Moody’s relationship data platforms by developing SQL and Python-based solutions to identify duplicate entities, missing relationships, and data quality issues within ownership datasets.

• Design, develop, maintain, and enhance SQL and Python solutions to identify duplicate entities, missing relationships, and data quality issues
• Extract and interpret trends from data analysis, translating these insights into clear requirements for the software development team to implement.
• Collaborate closely with IT professionals and developers to ensure the accurate execution of requirements and to validate the integration of new solutions.
• Monitor and verify the outcomes of implemented solutions, ensuring they meet the predefined criteria and do not adversely affect existing data quality.
• Continually assess and refine the entity resolution process to enhance data quality, accuracy, and efficiency.
• Stay abreast of the latest trends and advancements in data analysis and entity resolution techniques.

About theTeam

The team is responsible for delivering high-quality ownership and entity relationship data to a global client base. Working at the intersection of data, research, and client support, the team plays a critical role in ensuring transparency, accuracy, and trust in complex ownership structures while continuously improving data coverage and processes.

• Strong ability to interpret, analyze, and validate complex ownership and entity relationship data
• High attention to detail with a strong commitment to data accuracy, integrity, and quality control
• Effective written and verbal communication skills, with the ability to respond clearly to client enquiries
• Strong organizational and time-management skills, with the ability to manage multiple priorities in a fast-paced environment
• Problem-solving mindset with a proactive approach to process improvement and operational efficiency
• Ability to work independently while collaborating effectively with internal and external stakeholders
• Proficiency in SQL, Python and Microsoft Office applications
• Knowledge of Databricks or Power BI is considered an asset.
• Professional fluency in English and strong proficiency in French, both written and spoken. Knowledge of Dutch is considered an asset.
• Interest in emerging technologies and willingness to learn how AI-enabled tools can enhance data quality and operational efficiency, * Bachelor’s degree (Bachelor Universitaire/Hogeschool) or Master’s degree in Economics, Finance, Statistics, Data Analytics, Computer Science or related discipline
• Equivalent experience and qualifications will also be considered
• Entry-level candidates are welcome to apply