Senior Data Analyst Consultant

This is a consultancy mission at a client site, where you will represent Keystone Solutions as a Data Analyst. As part of our consultancy team, you will be engaged in designing, delivering, and maintaining high-quality data solutions for Anti-Money Laundering (AML) processes, ensuring compliance, efficiency, and scalability. You will act as a bridge between data providers (IT, Data Hub, Operations) and data consumers (AML/Compliance teams), aligning technical solutions with business needs while upholding strict data governance and quality standards. All responsibilities are carried out under Keystone Solutions’ consultancy model.

• →Stakeholder Alignment & Communication:
  • →Coordinate input from IT, Data Hub, Compliance, and Operations, ensuring alignment through structured documentation, workshops, and clear communication.
  • →Translate complex business requirements into actionable data solutions, balancing technical feasibility with regulatory and operational needs.
• →Data Governance & Quality:
  • →Establish and enforce data governance frameworks, including role definitions, quality rules, and access protocols, in collaboration with data providers and consumers.
  • →Monitor, refine, and escalate data quality issues proactively, ensuring long-term integrity of AML-related datasets (e.g., Customer/Account/Transaction data).
  • →Define and document business and technical rules for data integration, ensuring traceability and compliance.
• →Data Analysis & Troubleshooting:
  • →Investigate and resolve data discrepancies, including mainframe-based data points (willingness to explore raw data is essential).
  • →Analyze AML Transaction Monitoring data, identifying patterns, gaps, or anomalies that impact compliance or operational efficiency.
• →Solution Design & Industrialization:
  • →Design logical and physical data models (e.g., data warehouses, datamarts) optimized for AML reporting and analytics.
  • →Develop and industrialize data pipelines, ensuring seamless flow and accessibility across the enterprise.
  • →Prototype solutions to validate business requirements and refine designs based on feedback.
• →Process Optimization:
  • →Streamline data workflows to maximize reusability and efficiency, reducing redundancy and manual interventions.
  • →Advocate for best practices in data security, architecture, and compliance, aligning with IT and risk management standards.

• At least a Master’s degree in a quantitative discipline, such as statistics, mathematics, or engineering. Candidates with other academic backgrounds with substantial knowledge of analytics are also encouraged to apply.
• At least 5 years of relevant experience in Data Analytics.
• 2–6 years of hands-on experience in Data Analytics, with a focus on AML processes or financial crime prevention.
• Proficiency in SQL and data modeling tools (e.g., PowerDesigner or equivalent).
• Experience with reporting/dashboard tools (Tableau, BO, SAS, etc.).
• Familiarity with Agile methodologies and project management tools (JIRA, Agile Central) is preferable.
• Deep understanding of banking data, particularly AML Transaction Monitoring data (customer, account, transaction attributes).
• Proven ability to capture, document, and manage functional/non-functional requirements for data solutions.
• Knowledge of data security, IT architecture, and financial services operations.
• Hands-on experience with data quality frameworks, including rule definition, monitoring, and issue escalation.
• Project management skills, able to coordinate input from multiple stakeholders through structured documentation, workshops, and clear communication.

• Proactive and entrepreneurial mindset—able to drive initiatives independently while collaborating across teams.
• Strong analytical and problem-solving skills, with attention to detail and a quality-focused approach.
• Excellent communication (fluent in Dutch, French, and English) to engage technical and non-technical stakeholders.
• Adaptability and eagerness to learn, with the ability to connect strategic goals to operational execution.

• Fluent in Dutch, French, and English.

• Based in Brussels, with an expectation of 50% on-site and 50% homeworking.