Senior Data Analyst Consultant

The Data Analyst position is a consultancy mission at the client site, representing Keystone Solutions. As a Keystone Solutions consultant, you will be hired to deliver high-impact data solutions for AML processes, ensuring compliance, efficiency, and scalability. You will bridge the gap 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., * 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.
• 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.
• 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.
• 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.
• 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., * As a consultant, you will work on-site and embody the Keystone Solutions identity.
• Experience dynamic projects and diverse challenges across various client environments.
• Accelerate your professional development and broaden your learning through turbo-charged learning opportunities.
• Skyrocket your ambition with a clear commitment to career growth within the Keystone Solutions framework.
• Bring core values as a "K-Stone" to every engagement, ensuring excellence and integrity in all missions.

If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today .

• Fluent in Dutch, French, and English.

Education:

• Master's degree in a quantitative discipline (statistics, mathematics, engineering) or substantial knowledge of analytics.

Telework:

• Expectation: 50% on site & 50% homeworking.

Required Experience / Knowledge:

• At least 5 years of relevant experience in Data Analytics.

Technical Experience:

• 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.
• Able to coordinate input from multiple stakeholders through structured documentation, workshops, and clear communication (Project Management skills).

Soft Skills:

• 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 to engage technical and non-technical stakeholders.
• Adaptability and eagerness to learn, with the ability to connect strategic goals to operational execution.