The Company
Our Client is a world leader in Essential dairy, plant-based product, early life nutrition and medical nutrition. By maintaining a clear and consistent brand value, their mission and products became popular enough to allow them to operate worldwide. Besides specializing in therapeutic food and infant formula, they collaborate in researching several diseases to make patient`s life easier with their products.
Role Description
This position is based within the Research & Innovation environment, focusing on the development of Python-driven data solutions and applications. The role acts as a bridge between business and IT, ensuring that data transformation initiatives are effectively designed, executed, and transitioned into scalable, production-ready solutions. You will play a key role in preparing and structuring data, supporting analytical applications, and coordinating with stakeholders to deliver high-quality data and analytics outputs within agreed timelines.
Responsibilities
- Designing and prototyping data processing solutions, ensuring a smooth transition to IT teams for full-scale implementation.
- Developing, maintaining, and optimizing Python scripts for data transformation and preparation.
- Providing ongoing support for applications and implementing necessary adjustments.
- Leading and organizing data mapping activities in collaboration with business stakeholders.
- Translating business needs into clear specifications for analytics and dashboard development.
- Validating data outputs and analytical solutions from a business perspective.
- Monitoring project progress, ensuring deliverables are completed on time and aligned across stakeholders.
- Engaging with end-users to gather feedback, validate results, and continuously improve solutions.
- Maintaining and monitoring data quality, consistency, and integrity across datasets.
- Strong proficiency in Python, including libraries such as Pandas, NumPy, SciPy, and Streamlit.
- Hands-on experience with data transformation and data preparation processes.
- Basic understanding of statistical concepts (e.g., mean, standard deviation, coefficient of variation).
- Familiarity with version control systems (e.g., GitHub).
- Ability to structure, document, and communicate requirements related to data, analytics, and reporting.
- Strong organizational skills with the ability to manage multiple stakeholders and priorities.
- Comfortable operating in a business-facing environment and collaborating with IT teams.
- Practical, solution-oriented mindset with a strong focus on delivery and execution.
- Bachelor’s or Master’s degree in a relevant technical, scientific, or business discipline.
- Prior experience working with data in the food or chemical industry is considered a plus.
Other information
Apply to our vacancy for more information. Looking forward to getting in touch!
58355
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Marianna Tomkova
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