Data Analyst KYC context - BNP Paribas Fortis

Adjugo; Brussel Hoofdstad; Hybrid; EUR 70,000 - 95,000; Full time

Job summary

BNP Paribas Fortis seeks a Senior Data Analyst in the KYC context within the Transformation Office. The role covers customer onboarding, periodic reviews and event-driven updates, driving governance and scalable data solutions in Brussels.

You will design data models, industrialize pipelines, and build interactive dashboards (Power BI preferred) while coordinating with IT, Data Services, Compliance and Front Office. Hybrid work, from 26 October 2026 to 26 October 2027.

Qualifications

• Five years data analytics
• KYC analytics practical experience
• SQL querying and analysis
• Data modeling tool proficiency
• Reporting dashboard tool experience
• Banking KYC data knowledge

Responsibilities

• Coordinate input from IT, Data Services, Compliance (CPL), KYC Operations and Front Office through structured documentation, workshops and clear communication.
• Translate KYC business requirements for onboarding, reviews, customer due diligence, and risk assessment into actionable data solutions balancing 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 elevate data quality issues proactively to ensure long-term integrity of KYC datasets.
• Define source-to-target mappings, data lineage and reconciliation controls for traceability and compliance.
• Investigate and resolve discrepancies across customer data, KYC applications and mainframe data points.
• Write and run SQL queries to extract, join, validate, and analyze KYC data across source systems.
• Analyze KYC data to identify missing or inconsistent information, coverage gaps and bottlenecks across onboarding and reviews.

Skills

Five years data analytics

KYC analytics

SQL querying and analysis

Data modeling

Reporting dashboards

Banking KYC data knowledge

Agile methodology

Strong communication

Education

Bachelor or Master in statistics / mathematics / engineering

Tools

PowerDesigner

Power BI

Tableau

BO / SAS

JIRA

Agile Central

Job description

Data Analyst KYC context - BNP Paribas Fortis

Dates: 2026-10-26 — 2027-10-26

Join BNP Paribas Fortis as a Senior Data Analyst in the KYC context within the Transformation Office. The mission covers customer onboarding, periodic reviews and event-driven updates. Reliable customer identification, due diligence, risk assessment and process data support compliance, efficiency and scalability.

Act as a bridge between IT, Data Services, AI and Operations and the teams consuming KYC data. Align stakeholders through workshops, structured documentation and clear communication. Define governance, quality rules, access protocols, mappings, lineage and reconciliation controls to support traceable data integration.

Investigate raw data and use SQL to identify discrepancies, missing information and operational bottlenecks. Design logical and physical models, industrialize pipelines and build interactive dashboards, with Power BI preferred. The assignment is based in Brussels with 50% onsite work and 50% homeworking, from 26 October 2026 to 26 October 2027.

Top Reasons to Apply

KYC compliance impact

End-to-end data solutions

Cross-functional stakeholder collaboration

Operational improvement opportunities

Hybrid Brussels assignment

Responsibilities

Coordinate input from IT, Data Services, Compliance (CPL), KYC Operations, and Front Office, ensuring alignment on KYC data needs through structured documentation, workshops, and clear communication.

Translate KYC business requirements for onboarding, reviews, customer due diligence, and risk assessment 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 elevate data quality issues proactively, ensuring long-term integrity of KYC datasets, including customer identification, legal entity and beneficial ownership information, related parties, risk classifications, and due diligence records.

Define and document business and technical rules for KYC data integration, including source-to-target mappings, data lineage, and reconciliation controls, ensuring traceability and compliance.

Investigate and resolve discrepancies across customer reference data, KYC applications, and mainframe-based data points (willingness to explore raw data is essential).

Write and run SQL queries to extract, join, validate, and analyze KYC data across source systems, uncovering trends, data quality issues, and actionable insights.

Analyze KYC customer, risk, screening, and process data to identify missing or inconsistent information, coverage gaps, and operational bottlenecks across onboarding and reviews.

Must Have

Five years data analytics

KYC analytics practical experience

SQL querying and analysis

Data modeling tool proficiency

Reporting dashboard tool experience

Banking KYC data knowledge

Nice to Have

Agile methodology working familiarity

Agile project tool familiarity

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.
• 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.
• Quality‑focused approach.
• Excellent communication with technical and non-technical stakeholders.
• 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.