Data Quality Analyst

Sloka IT Solutions; Brussel; Hybride; EUR 55 000 - 75 000; Plein temps

Résumé du poste

Sloka IT Solutions is seeking a Data Quality Analyst to strengthen data governance in a banking environment. You will define data quality controls, monitor KPIs, investigate issues, and ensure well-documented data across the organisation.

This hybrid Brussels-based role requires collaboration with business and technical teams, strong Excel and SQL skills, and practical knowledge of KYC and financial security domains.

Qualifications

• 3–4 years of experience in data quality analysis within the banking sector.
• Practical knowledge of KYC and Financial Security domains.
• Strong analytical, statistical, and problem-solving capabilities.
• Proficiency in Microsoft Excel and data analysis.
• Working knowledge of Oracle SQL.
• Strong communication and stakeholder management skills.
• Ability to investigate complex data issues and communicate findings clearly.

Responsabilités

• Define and implement data quality controls across multiple data types.
• Monitor data quality KPIs and enhance dashboards and reporting.
• Identify, investigate, and resolve data quality issues through root cause analysis.
• Support data certification processes and maintain data documentation.
• Collaborate with stakeholders to address data quality risks and drive corrective actions.
• Contribute to data governance standards and best practices.
• Support change initiatives related to data quality and governance.

Connaissances

Data quality analysis

KYC & Financial Security

Analytical skills

Excel

Oracle SQL

Stakeholder management

Root cause analysis

Outils

Tableau

SAS

Python

Description du poste

Greetings from Sloka IT Solutions.

Job Title: Data Quality Analyst

Location: Brussels, Belgium

Work Model: Hybrid

Language Required: English, Dutch, or French

Start date: 3 September 2026

Contract duration: 6 months

Experience: 3–4 years

Role Overview:

We are looking for a Data Quality Analyst to support data quality and governance activities within a banking environment. You will define and implement data quality controls, monitor key performance indicators, investigate issues, and contribute to reliable, well-documented data across the organisation.

This role is well suited to an analytical professional who can translate data findings into practical improvements and work effectively with stakeholders across business and technical teams.

Key Responsibilities:

• Define and implement data quality controls across multiple data types.
• Monitor data quality KPIs and enhance related dashboards and reporting.
• Identify, investigate, and resolve data quality issues through structured root cause analysis.
• Support data certification processes and maintain clear, accurate data documentation.
• Work with stakeholders to address data quality risks and drive corrective actions.
• Contribute to data governance standards and best practices within the analyst community.
• Support change initiatives related to data quality and governance.

Required Qualifications and Skills:

• 3–4 years of experience in data quality analysis within the banking sector.
• Practical knowledge of KYC and Financial Security domains.
• Strong analytical, statistical, and problem-solving capabilities.
• Proficiency in Microsoft Excel and data analysis.
• Working knowledge of Oracle SQL.
• Strong communication and stakeholder management skills.
• Ability to investigate complex data issues and communicate findings clearly.

Preferred Skills and Experience:

• Experience with data governance frameworks and tools.
• Familiarity with dashboarding and reporting tools such as Tableau.
• Knowledge of SAS and Python.
• Good working knowledge of Dutch or French.
• Experience supporting data certification, governance, or change management initiatives.

Work Arrangement and Location:

This is a hybrid role based in Brussels, Belgium.

About the Opportunity:

You will have the opportunity to strengthen data quality practices in a regulated banking environment, collaborate with a broad stakeholder community, and contribute to the continued development of data governance standards.