Business Analyst FEC Data Layer

• Salary: Gross monthly salary between EUR 5,876 and EUR 8,395 (scale 10) for a 36-hour work week.
• Extras: a thirteenth month, 8% holiday allowance, and a 10% Employee Benefit Budget.
• Development budget: EUR 1,400 development budget per year for your growth and development.
• Hybrid working: a balance between home and office work (possible for most roles).
• Pension: decide for yourself the amount of your personal contribution.

Or view all our benefits.

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

• 36 hours per week.
• 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

• Analyse source systems and data flows to understand data quality, lineage and usage across FEC domains.
• Define and maintain logical data models aligned with enterprise information models and FEC standards.
• 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

We believe in the power of differences. By combining people's differences, we become an even better bank. We are curious about what you will bring to our team at Tech4FEC Data Layer.

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.

Work on yourself & the world around you

For us, your development and that of society go hand in hand. That is why we want to invest in you and work together to create a better world. We summarize this in one sentence: “At Rabobank, you work on yourself and the world around you simultaneously.” This is reflected in your personal development budget, our hybrid work environment, and a good work-life balance. You also work on banking matters and on social issues like the food and energy transitions.

Why everyone is welcome at Rabobank

At Rabobank, we are working toward a culture where everyone feels welcome. We value our differences and use them to collaborate more effectively and make better decisions. By being open to different perspectives, we create an environment where colleagues feel heard and can do their best work.

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.

You & the application process

• If you are invited for an interview, Bo, our virtual assistant, will contact you via SMS and email to schedule the interviews.
• You can find answers to frequently asked questions here.
• Assessments can be part of the application process.
• A reliability assessment is a part of the procedure.
• We respect your privacy.

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