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# Data Analyst - Finance

- **Company:** Real Staffing
- **Location:** Utrecht, Netherlands
- **Contract:** Permanent contract
- **Skills:** Data Validation, Data Cleansing, Data Mapping, Data Transformation, Github, Python (Programming Language), NumPy, SciPy, Data Processing, Scripting, Pandas, Streamlit Framework, Software Version Control
- **Published:** July 4, 2026
- **Apply:** https://www.realstaffing.com/en-gb/job/data-analyst---finance/4061575

## About the Role

* 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

## Description

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.


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