Business (Data) Analyst – Data Products

As a Business (Data) Analyst – Data Products, you develop 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.

This is what we offer you

• 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.

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.

Together we achieve more

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.

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.