Data Analyst - Finance

For Nutricia Research, we are looking for a Finance Data Analyst to join the Research & Innovation (R&I) organization. In this role, you will operate at the intersection of data, business, and IT, contributing to the development, testing, and implementation of data-driven solutions. You will be responsible for preparing, transforming, and validating data while supporting the deliveryofanalytics solutions that create business value. Working closely with R&I and IT stakeholders, you will help ensure projects are delivered on time and meet quality expectations., * Develop and maintain Python scripts for data transformation and data preparation.

• Pilot data processing solutions and support their handover to IT for industrialization.
• Support, adapt, and optimize existing applications.
• Coordinate data mapping activities with business stakeholders.
• Translate business requirements into clear inputs for analytics and dashboard development.
• Validate data and analytics solutions from a business perspective.
• Monitor project deliverables, timelines, and overall progress.
• Collaborate with end-users to test, validate, and refine solutions.
• Ensure data quality, consistency, and reliability across datasets.

• Bachelor’s or Master’s degree in a relevant technical, scientific, or business-related field.
• Strong Python programming skills.
• Hands-on experience with:
• Pandas
• NumPy
• SciPy
• Streamlit
• Proven experience in data transformation, data preparation, and data mapping.
• Basic understanding of statistical concepts, including mean, standard deviation, and coefficient of variation.
• Familiarity with GitHub or other version control systems.
• Experience gathering and structuring business requirements.
• Strong communication and stakeholder management skills.
• Comfortable working with both business and IT teams.
• Proactive, pragmatic, and results-oriented mindset.

Nice to Have

• Experience within the food, FMCG, chemical, or R&D industries.
• Previous involvement in business-facing analytics projects.
• Knowledge of dashboarding and reporting processes.

Personal Competencies

• Strong analytical skills
• Structured and detail-oriented
• Independent and proactive
• Excellent communication skills
• Stakeholder-focused
• Solution-oriented and hands-on