Data Quality Analyst

Location: Brussels

Start Date: 25/03/2026

End Date: 31/12/2026

Responsibilities:

• Develop data quality controls to support efficient business processes related to client, KYC, and transactional data.
• Monitor data quality using dashboards and KPIs, and assist in their redesign and upgrade.
• Coordinate the resolution of data quality issues by analyzing and solving potential dysfunctions or non-optimized data usage.
• Identify and document data quality issues and their business impacts to support prioritization.
• Analyze root causes and propose solutions in collaboration with stakeholders such as IT, process, operations, and compliance.
• Support change management actions for impacted teams.
• Assist in data certification processes and contribute to Data Quality Assessment & Remediation Committees.
• Contribute to designing, monitoring, and reporting on common reference tools, consolidating and harmonizing them.
• Support Data Managers in maintaining key Financial Security data documentation and identifying valuable use cases.
• Develop expertise in Financial Security data flows and applications.
• Act as a key contributor to the development of Data Quality practices, sharing experience and best practices.

Language Requirements:

• Dutch: Good (or French)
• French: Good (or Dutch)
• English: Fluent

Education:

Master’s degree required.

Required Experience/Knowledge:

• Minimum of 3 years of experience in Data Quality Analysis within a banking environment.
• Understanding of data lifecycle and data usage.
• Strong analytical abilities.
• Business experience in Financial Security domains (KYC, AML, Sanctions).

Technical Experience:

• Proficiency in Office tools (Excel, MS Access, PowerPoint).
• Strong communication skills, both written and spoken.
• Preferable experience in stakeholder management.
• Knowledge of banking databases.
• Experience with data governance frameworks and tools (e.g., Collibra, Ab Initio).
• Development and/or use of dashboards (e.g., Tableau).
• Experience with Business Objects.
• Familiarity with digital culture and the digital ecosystem.
• SQL, SAS, Python skills are a plus.

Business Experience:

• Demonstrated ability to perform data analysis with business impacts.
• Preferable experience in the Financial Security data domain within banking.

Soft Skills:

• Team player, flexible, accurate, and control-minded.
• Autonomous and self-taught.
• Solution-oriented and capable of tackling complex issues.
• Curious and able to challenge information.
• Creative in day-to-day activities.
• Strong communication and influencing skills, both written and spoken.