Senior Data Analyst - KYC
Sector: Banking
Location: Brussels
Contract length: 12 months
Estimated daily rate (EUR): 600 - 720
Languages: Dutch or French · English
Estimated daily rates are Rivant market estimates for guidance — not a client rate card.
Role details
Start date: 2026-10-26
Duration: 12 months
Extension possible: Not specified
Education: Bachelor or Master's degree in a quantitative discipline (statistics, mathematics or engineering), or equivalent analytics background
Location detail: Brussels (5 min walk from Central Station) - 50% on site / 50% homeworking. Remote/telework from Belgium only
About the role
A major Belgian bank in Brussels needs a Senior Data Analyst for KYC. You design, deliver and maintain high-quality data solutions across the KYC lifecycle — customer onboarding, periodic reviews and event-driven updates — bridging IT, Data Services, AI and Operations with KYC Operations, Front Office, Compliance and regulators so identification, due diligence and risk data stay reliable and usable.
Responsibilities
- Align stakeholders on KYC data needs and translate requirements into actionable data solutions
- Establish data governance, quality rules and access protocols for KYC datasets
- Investigate discrepancies across customer reference data, KYC applications and mainframe sources using SQL
- Design data models and industrialize pipelines from KYC sources to shared platforms and reporting
- Build dashboards for KYC volumes, risk distribution, cycle times and handovers
- Streamline KYC data workflows to cut duplicate collection and manual checks
Business experience
| Skill | Level | Priority |
|---|---|---|
| Deep understanding of banking and KYC data: customer identification, legal entity structures, beneficial ownership, related parties, risk assessments, screening, onboarding and review workflows | Not specified | Mandatory |
| Capture, document and manage functional/non-functional requirements for data solutions | Not specified | Mandatory |
| Knowledge of data security, IT architecture and financial services operations | Not specified | Mandatory |
| Hands-on data quality frameworks: rule definition, monitoring and issue escalation | Not specified | Mandatory |
| Coordinate IT, Data Services, Compliance, KYC Operations and Front Office through documentation and workshops | Not specified | Mandatory |
Functional experience
| Skill | Level | Priority |
|---|---|---|
| At least 5 years of relevant experience in Data Analytics | ≥5 years | Mandatory |
| Willingness to explore raw data including mainframe-based data points | Not specified | Mandatory |
| Design logical/physical data models for KYC reporting and analytics | Not specified | Mandatory |
Technical experience
| Skill | Level | Priority |
|---|---|---|
| Hands-on Data Analytics focused on KYC, customer due diligence or financial crime prevention | 2–6 years | Mandatory |
| SQL — extract, join, validate and analyze data | Not specified | Mandatory |
| Data modeling tools (e.g. PowerDesigner or equivalent) | Not specified | Mandatory |
| Reporting/dashboard tools (Tableau, BO, SAS) to visualize data and KPIs | Not specified | Mandatory |
| Interactive dashboards in Power BI | Not specified | Preferable |
| Agile methodologies and tools (JIRA, Agile Central) | Not specified | Preferable |
Language requirements
Dutch or French · English
| Language | Speaking | Reading | Writing | Mandatory |
|---|---|---|---|---|
| Dutch | Good | Good | Good | No |
| French | Good | Good | Good | No |
| English | Good | Good | Good | Yes |
Soft skills
- Proactive and entrepreneurial — drive initiatives independently while collaborating across teams
- Strong analytical and problem-solving skills with attention to detail
- Excellent communication with technical and non-technical stakeholders
- Adaptability and eagerness to learn; connect strategic goals to operational execution
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