AML/KYC Data Analyst - Hybrid Data & Compliance

emagine; Brussel Hoofdstad; Hybride; EUR 55 000 - 85 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Résumé du poste

emagine is seeking a Data Services Data Analyst with expertise in AML/KYC to translate regulatory requirements into data-driven solutions. You will analyze data flows, map data relationships, and collaborate with Product Owners to ensure compliance and effective testing.

The ideal candidate has strong SQL skills, experience with data modeling and BI tools, and a solid grasp of big data concepts. Fluency in English, plus knowledge of Dutch and French, is beneficial.

Qualifications

• 4+ years of relevant experience.
• Proficient in SQL querying.
• Experience with conceptual data modeling.
• Understanding of data concepts like big data and BI.
• MS Office (Word, Excel, PowerPoint).
• Understanding of Agile methodologies.
• Deep knowledge of AML and KYC processes.
• Strong stakeholder and project management skills.
• Knowledge of workflow processes.

Responsabilités

• Oversee the business analysis process from idea inception to execution.
• Analyze and map data flows and identify issues.
• Collaborate with Product Owners and SMEs to align requirements with business goals.
• Translate business needs into test conditions for product testing.
• Support the design of data architecture and validate solutions.
• Facilitate delivery through effective change management and reporting.

Connaissances

SQL querying

Data modeling

Agile methodologies

MS Office

KYC/AML domain knowledge

Stakeholder management

Project management

Big data concepts

Data architecture

Formation

Bachelor's or Master's degree

Outils

SAS Enterprise Guide

Power BI

Tableau

Description du poste

emagine is seeking a Data Services Data Analyst with expertise in AML/KYC to translate regulatory requirements into data-driven solutions. You will analyze data flows, map data relationships, and collaborate with Product Owners to ensure compliance and effective testing.

The ideal candidate has strong SQL skills, experience with data modeling and BI tools, and a solid grasp of big data concepts. Fluency in English, plus knowledge of Dutch and French, is beneficial.