Business Analyst FEC Data Layer

You help shape a reliable and compliant FEC data foundation used for analytics, monitoring and regulatory reporting across Rabobank, supporting millions of transactions every day.

You & your role

Translate complex business and regulatory needs into concrete data requirements that strengthen the FEC Data Layer. As Business Analyst FEC Data Layer, you work closely with stakeholders, data engineers and architects to ensure data is usable, compliant and reusable. For example, you analyse source systems, define logical data models and assess regulatory changes impacting data products.

Examples from practice

• Mapping end-to-end data lineage for Payments data to support FEC monitoring use cases.
• Translating new regulatory requirements into clear data definitions and user stories.
• Supporting engineers with data analysis to improve data quality and reusability.

Facts & figures

• You work on Logical Data Models that support multiple FEC use cases and regulatory reporting requirements.
• Over 48,000 Rabobank colleagues worldwide.

Top 3 responsibilities

1. Analyse source systems and data flows to understand data quality, lineage and usage across FEC domains.
2. Define and maintain logical data models aligned with enterprise information models and FEC standards.
3. Assess the impact of regulatory or process changes on data requirements and prioritise must-have data needs.

You support the data layer by connecting regulation, analytics and technology into clear, reusable data products that enable effective FEC detection and reporting.

Together we achieve more than alone

The team of Tech4FEC Data Layer delivers reliable, compliant and reusable data foundations that enable effective Financial Economic Crime detection and reporting. Collaboration is our way of working; as one data-minded and analytical team within Rabobank. We work closely with compliance, analytics and technology colleagues to create sustainable solutions.

You & your talent

• Bachelor or Master level in Business Analysis, Information Management or a related field.
• At least 5 years of experience as a Business Analyst in data-intensive environments.
• Solid knowledge of Payments data and/or Client data; affinity with FEC and KYC domains is essential.
• At least 3 years of experience with data modelling and complex data landscapes.
• Experience with data modelling tools and collaboration with data engineers and architects.
• Experience working in FEC, Compliance, KYC or Risk-related domains within financial services.
• Hands-on experience with data modelling (logical and physical).
• Experience working in Agile / Scrum teams.
• Experience with data governance concepts and practices.
• Strong analytical skills.
• Clear and effective communication skills.