Data Specialist (Entity Resolution)

Moody's Investors Service; Brussel; Sur place; EUR 55 000 - 75 000; Plein temps

Résumé du poste

Moody's Investors Service in Belgium seeks a data quality and entity resolution specialist to strengthen ownership and relationship data platforms. You will design SQL and Python solutions to identify duplicates, missing relationships, and data quality issues within ownership datasets.

The role requires strong SQL and Python skills, with fluency in English and French; Dutch is a plus. Collaboration with IT and developers is essential, and a proactive mindset helps improve processes and data

Qualifications

• Bachelor's 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.

Responsabilités

• 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.
• Collaborate with IT professionals and developers to ensure accurate execution of requirements and integration of new solutions.
• Monitor and verify outcomes of implemented solutions and ensure data quality is not adversely affected.
• Continually refine the entity resolution process to enhance data quality, accuracy, and efficiency.
• Stay abreast of trends in data analysis and entity resolution techniques.

Connaissances

SQL

Python

Microsoft Office

Formation

Bachelor's degree in Economics/Finance/Statistics/Data Analytics/Computer Science

Outils

Databricks

Power BI

Description du poste

SkillsandCompetencies

• 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

Education

• Bachelor's degree (Bachelor Universitaire/Hogeschool) orMaster's degree in Economics, Finance, Statistics, Data Analytics,Computer Scienceor related discipline
• Equivalent experience and qualifications will also be considered
• Entry-level candidates are welcome to apply

Responsibilities

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.