3 jul 2026
R&D Data Analyst - Temporary
| Branche | Zie onder |
| Dienstverband | Zie onder |
| Uren | Zie onder |
| Locatie | Utrecht |
| Opleidingsniveau | HBO / bachelor |
| Contactpersoon |
Shir Abramovich |
Informatie
- Spearhead the implementation and testing of initial data processing workflows, ensuring a smooth transition to the IT department for full-scale operationalization.
- Craft and manage Python code to facilitate the manipulation and preparation of diverse datasets.
- Provide ongoing assistance and necessary modifications to existing software applications.
- Collaborate with business representatives to define and organize the mapping of data elements.
- Convert stakeholder needs into precise specifications for analytical tools and reporting dashboards.
- Conduct business-focused validation of data assets and analytical outputs.
- Monitor project progress, ensuring the timely completion of all assigned tasks and deliverables.
- Interact with end-users to confirm the accuracy of results and iteratively improve system functionality.
- Maintain the integrity and quality across all data sources.
Omschrijving
- Spearhead the implementation and testing of initial data processing workflows, ensuring a smooth transition to the IT department for full-scale operationalization.
- Craft and manage Python code to facilitate the manipulation and preparation of diverse datasets.
- Provide ongoing assistance and necessary modifications to existing software applications.
- Collaborate with business representatives to define and organize the mapping of data elements.
- Convert stakeholder needs into precise specifications for analytical tools and reporting dashboards.
- Conduct business-focused validation of data assets and analytical outputs.
- Monitor project progress, ensuring the timely completion of all assigned tasks and deliverables.
- Interact with end-users to confirm the accuracy of results and iteratively improve system functionality.
- Maintain the integrity and quality across all data sources.
Functie eisen
- 3+ years of experience in a data analysis role.
- A Bachelor's or Master's degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field.
- Demonstrated expertise in Python, including practical application of libraries such as Pandas for data manipulation, NumPy for numerical operations, and SciPy for scientific computing.
- Experience with visualization or dashboarding tools like Streamlit is highly valued.
- Proven ability to design and implement robust processes for cleaning, transforming, and preparing diverse datasets for analysis.
- Solid grasp of fundamental statistical concepts, including descriptive statistics (e.g., central tendency, dispersion) and their application to interpret data patterns.
- Proficiency in using Git for source code management and collaborative development, ensuring code integrity and traceability.
- Requirements Elicitation: Adept at gathering, documenting, and clarifying business needs related to data analysis, reporting, and desired insights.
- Good stakeholder management skills.
- Comfortable and effective in bridging the gap between business stakeholders and technical (IT) teams, fostering productive partnerships.
- Prior experience analyzing data within the food or chemical sectors is considered an advantage.
