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Data Specialist (Entity Resolution)

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Onsite

Data Specialist (Entity Resolution)

Moody's

Data Specialist (Entity Resolution)

Skills

SQL QueriesPythonDatabricksData AnalysisAISAP SuccessFactorsProcess ImprovementPower BI

1 month ago

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Important information


Location:

Brussels, Belgium

Work mode:

Onsite

Published on:

7 September 2026

What they need


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

Education

  • 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

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.

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