Data Specialist (Entity Resolution)

Skills and Competencies

• 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

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.

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.

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