Business (Data) Analyst – Data Products 

Make an impact as a Business (Data) Analyst by developing data solutions with your team that drive Rabobank forward. Work in an innovative environment on complex data challenges and help shape the future of data. Read on or apply now! 

You & your role 

Work on analysing, structuring and documenting customer requirements within a dynamic data landscape. As a Business (Data) Analyst, you are the link between stakeholders, the product owner and the DevOps team. You translate functional and technical requirements into concrete solutions and ensure robust documentation. In this role, you work closely with various teams and contribute to achieving Rabobank’s data-driven ambitions. Someone who can find the right people, takes initiative, and turns scattered details into a clear information.  

Top responsibilities 

• Stakeholder Management in a Complex Organization: Engage with multiple business units, data producers, and consumers across a complex, interconnected organizational structure. Act as the connector to ensure smooth communication and alignment throughout the data product lifecycle. 
• Coordinate with Architects and Engineers: Collaborate with Data Architects and Engineering teams to design logical and physical data models that meet business objectives and support scalable data products. 
• Translate Business Needs into Technical Requirements: Understand consumer requirements and map them to available data sources, ensuring alignment between business needs and technical feasibility. Create clear, actionable specifications for engineering teams. 
• Drive Delivery & Validate Quality: Oversee implementation by providing detailed functional specifications and acceptance criteria, and actively participate in functional testing and validation of data products to ensure they meet business requirements and quality standards. 
• Streamline Business Analysis Processes: Define and implement best practices for gathering, documenting, and validating requirements for data products, continuously improving efficiency and consistency. 
• Data modelling: experienced in designing and integrating enterprise-wide data models from diverse source systems and creating scalable, user-friendly models 

Examples from practice 

• Organising conversations with customers to analyse and document requirements. 
• Develop and maintain conceptual, logical and physical data models for data product 
• Create data models where the integration of several different source systems has taken place 
• Research new datasets and understand how the source system is translated to an existing enterprise wide data model 

Facts & figures

• 36 hours per week.
• You support over 95+ DevOps teams with data‑driven insights.
• Worldwide 43,822 Rabobank colleagues.

Together we achieve more

We believe in the power of differences. By combining people’s unique perspectives, we become a better bank. We’re curious to learn what you will add to our team. The colleagues in our team support the bank by delivering reliable data insights and scalable reporting solutions. Collaboration is key; we work as one focused, analytical and data‑minded team within Rabobank. In our team, we value open communication, continuous improvement and a practical mindset aimed at enabling others.

Work on yourself & the world around you

Your development and your positive impact on society go hand in hand. That’s why we invest in you while working together on a better world. At Rabobank, you work on yourself & the world around you.

You’ll see this in your personal development budget, our hybrid work environment and a healthy work‑life balance. You can contribute to banking services for private and business customers, as well as societal challenges such as the food and energy transitions.

Why everyone is welcome at Rabobank

We believe we are stronger when we combine people who complement each other. By embracing our differences, we bring out the best in one another. We look for diversity in knowledge, experience, background and culture. Every department aims for variety and space to be yourself — whoever you are. That is what diversity and inclusion mean at Rabobank.

You & your talent 

• At least 6 years’ experience as a business analyst, of which at least 3 years with data modelling (Data Vault, Dimensional modelling) and historical data. 
• Ability to work in a complex organization, bridging multiple teams and systems. 
• Good communication and stakeholder management skills. 
• Proven experience as a Business Analyst in a data-driven environment (data engineering, analytics, or BI). 
• Strong understanding of data modelling, data pipelines, and data product lifecycle. 
• Familiarity with SQL & data warehousing concepts 
• Knowledge of Agile methodologies and experience in writing user stories and acceptance criteria. 

You & the application process

• Questions about working at Rabobank and the procedure? Raphaël Drenthel IT Recruiter via Raphael.Drenthel@rabobank.nl (we will only handle applications via our portal. CVs sent directly to this email address will not be considered)
• After you submit your CV and cover letter, you will receive a quick response. If we see a match, then 1 interview / 2 interviews will be part of the process; conversations take place via Microsoft Teams / at our office. An assessment is also part of the procedure.
• Answers to frequently asked questions can be found at rabobank.jobs/nl/veelgestelde-vragen.
• A reliability screening is part of the procedure.
• We respect your privacy.

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