Data Analyst AML KYC Expert

• Analyzing and mapping existing data flows, user roles, data usage and data issues.
• Defining target solutions and business use cases.
• Translating business requirements into clear and actionable user stories aligned with business goals.
• Collaborating closely with Product Owners, Architects, SMEs, Business Analysts and technical teams to refine requirements and deliver integrated solutions.
• Maintaining requirements traceability and performing impact analysis across business and technical solutions.
• Supporting data architecture design, solution validation and quality reviews of prototypes.
• Project management, workflow analysis, testing, change management and delivery coordination.

What they ask

• 4+ years of relevant experience in Data Analysis, Business Analysis, or comparable roles, preferably within Banking, AML/KYC or Financial Security.
• Deep hands-on experience in AML (Anti-Money Laundering), KYC (Know Your Customer), and Financial Security data domains.
• Strong experience in business analysis, requirements management, stakeholder management, and bridging business and IT.
• Strong understanding of data concepts including Big Data, Business Intelligence, reporting, dashboarding, Data Vault and Data Marts.
• Strong hands-on experience with SQL querying and data analysis.
• Experience with conceptual data modelling techniques and methods.
• Good understanding of IT testing, including defining test conditions for product, performance and UAT testing.
• Experience translating business requirements into clear and actionable user stories aligned with business goals.
• Strong understanding of Agile methodologies, including backlog management, sprint planning, backlog refinement and MVP mindset.
• Experience with story slicing, dependency mapping and prioritization of Agile backlogs.
• Strong written and spoken English is required; good knowledge of Dutch and French is required.
• Proficiency in MS Office, including Word, Excel and PowerPoint.

Desirables.

• Good understanding of banking activities, customer data and compliance.
• Familiarity with SAS Enterprise Guide.
• Familiarity with reporting and visualization solutions such as Power BI or Tableau.
• Experience creating and maintaining Agile roadmaps, including quarterly/annual planning and backlog prioritization.

• Strong analytical and structured thinking with excellent problem-solving skills.
• Customer-oriented mindset with a strong focus on delivering practical and high-quality solutions.
• Strong communication, negotiation and stakeholder management skills.
• Ability to challenge requirements through rational, fact-based analysis and propose effective solutions.
• Strong ability to act as a bridge between business and IT stakeholders.
• Team player with the ability to work independently in a collaborative, cross-functional environment.
• Proactive, entrepreneurial and change-driven mindset with a focus on innovation and continuous improvement.
• Highly organized, detail-oriented and comfortable managing multiple priorities and stakeholders.
• Comfortable working in an Agile, cross-functional and collaborative environment.