Senior Data Analyst - KYC

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 include: aligning stakeholders on KYC data needs and translating requirements into actionable data solutions; establishing data governance, quality rules and access protocols for KYC datasets; investigating discrepancies across customer reference data, KYC applications and mainframe sources using SQL; designing data models and industrializing pipelines from KYC sources to shared platforms and reporting; building dashboards for KYC volumes, risk distribution, cycle times and handovers; and streamlining KYC data workflows to cut duplicate collection and manual checks.

Business experience required: deep understanding of banking and KYC data (customer identification, legal entity structures, beneficial ownership, related parties, risk assessments, screening, onboarding and review workflows) — mandatory; capture, document and manage functional/non-functional requirements for data solutions — mandatory; knowledge of data security, IT architecture and financial services operations — mandatory; hands-on data quality frameworks — mandatory; and coordination of IT, Data Services, Compliance, KYC Operations and Front Office through documentation and workshops — mandatory.

Functional experience: at least 5 years of relevant experience in Data Analytics — mandatory; willingness to explore raw data including mainframe-based data points — mandatory; and design of logical/physical data models for KYC reporting and analytics — mandatory.

Technical experience: hands-on Data Analytics focused on KYC, customer due diligence or financial crime prevention (2–6 years) — mandatory; SQL for extract, join, validate and analyze data — mandatory; data modeling tools (e.g. PowerDesigner or equivalent) — mandatory; reporting/dashboard tools (Tableau, BO, SAS) — mandatory; interactive dashboards in Power BI — preferable; Agile methodologies and tools (JIRA, Agile Central) — preferable.

Languages: Dutch or French (good speaking, reading, writing) are not mandatory, English (good) is mandatory.

Education: Bachelor or Master's degree in a quantitative discipline (statistics, mathematics or engineering), or equivalent analytics background.

Soft skills: proactive and entrepreneurial; strong analytical and problem-solving skills with attention to detail; excellent communication with technical and non-technical stakeholders; adaptability and eagerness to learn.

Start date: 2026-10-26. Duration: 12 months. Location: Brussels (5 min walk from Central Station), 50% on site / 50% homeworking, remote/telework from Belgium only. Estimated daily rate: 600-720 EUR (Rivant market estimate).