Data Analyst KYC context - BNP Paribas Fortis

Detailed Responsibilities and Skills

Additional Responsibilities

• Design logical and physical data models (e.g., data warehouses, datamarts) optimized for KYC reporting and analytics, linking customers, legal entities, beneficial owners, related parties, risk assessments, and process history.
• Develop and industrialize data pipelines, ensuring reliable flows between KYC source systems, shared data platforms, and reporting solutions, with appropriate accessibility across the enterprise.
• Build and maintain interactive dashboards to visualize KYC data and KPIs, including onboarding and review volumes, risk distribution, cycle times, waiting times, and handovers, preferably using Power BI. Translate findings into actionable insights to support business decisions and process improvements.
• Prototype KYC data solutions and dashboards to validate business requirements and refine designs based on feedback.
• Streamline KYC data workflows to maximize reusability and efficiency, reducing duplicate data collection and manual checks. Use process history to measure cycle times, waiting times, handovers, and rework, and identify opportunities for process improvement.
• Advocate for best practices in data security, architecture, and compliance, aligning with IT and risk management standards.

General skills

• At least five years of relevant experience in Data Analytics.
• Two to six years of hands-on Data Analytics experience focused on KYC, customer due diligence or financial crime prevention; reconcile the lower bound with the separate five-year requirement.
• Bachelor or Master degree in a quantitative discipline, such as statistics, mathematics or engineering; other academic backgrounds with substantial analytics knowledge are explicitly accepted.
• Deep understanding of banking and KYC data: customer identification, legal entity structures, beneficial ownership, related parties, customer risk assessments, screening outcomes, and onboarding and review workflows.
• Proven ability to capture, document and manage functional and non-functional requirements for data solutions.
• Knowledge of financial services operations.
• Coordinate stakeholder input from IT, Data Services, Compliance (CPL), KYC Operations and Front Office through structured documentation, workshops and clear communication; project management skills.
• Proactive and entrepreneurial mindset.
• Drive initiatives independently.
• Collaborate across teams.
• Strong analytical skills.
• Strong problem-solving skills.
• Attention to detail.
• Quality-focused approach.
• Excellent communication with technical and non-technical stakeholders.
• Adaptability.
• Eagerness to learn.
• Connect strategic goals to operational execution.
• Strong written and spoken Dutch or French, plus English. Soft skills separately require fluency in Dutch, French and English; retain both statements and confirm whether both Dutch and French are mandatory.
• Willingness to explore raw data is essential.
• Work 50% onsite and 50% from home.

Technical skills

• Proficiency in SQL, including writing and running queries to extract, join, validate and analyze data.
• Knowledge of data security.
• Knowledge of IT architecture.
• Hands-on experience with data quality frameworks, including rule definition, monitoring and issue escalation.
• Familiarity with Agile methodologies.

Tools

• Proficiency in data modeling tools such as PowerDesigner or equivalent.
• Hands-on reporting/dashboard tool experience, for example Tableau, BO or SAS, to visualize data, monitor KPIs and generate actionable business insights.
• Hands-on experience building interactive dashboards and reports in Power BI is highly appreciated but not mandatory.
• Familiarity with project management tools such as JIRA and Agile Central.