The Chain Company
The Netherlands / Global
The Netherlands / Global
For ROSEN Europe BV in Oldenzaal, we are looking for two analytical and ambitious Data Analysts with 0–3 years of experience.
Due to the continued growth of our organization and increasing demand for data-driven insights, we currently have two vacancies available within our Data Analytics team.
This is a broad data-driven role within an organization that is rapidly evolving in the areas of data and digitization. You will have the opportunity to help build this further and make a direct impact on how data is utilized within the organization.
Description
Conduct data analyses and develop dashboards and reports (Power BI and similar tools)
Combine, structure, and analyze data from different systems
Identify trends, patterns, and deviations and translate these into actionable insights and improvements for the organization
Actively contribute to improving data quality, reporting, and data-driven decision-making
Support teams and management with clear analyses and practical insights
Identify and implement improvements in processes and ways of working, including through automation
Write and optimize policies and documentation, supported by AI tools such as Copilot
Contribute to various data and business intelligence projects within the organization
Depending on your experience and profile, the exact role will be tailored within the organization. This could be more corporate-focused (central data, reporting, and strategic analyses) or positioned in one of our Regions responsible for Europe, Central Asia, and Africa.
ROSEN is an international and innovative organization focused on high-end technology and data-driven solutions for industrial applications. Within ROSEN Europe, a culture of quality, innovation, and continuous development is key. The organization is experiencing strong growth and offers ample opportunities for initiative, development, and long‑term career progression.
What you bring
Completed Master’s degree in, for example, Mathematics, Business IT, Data Science, or a comparable field
Strong analytical skills and a high level of abstract thinking
Experience or strong interest in data analytics and AI tools
Good knowledge of Excel and Power BI (SQL or similar tools is a plus)
Affinity with AI tools such as Copilot and modern data practices
Excellent communication skills and a team-oriented mindset
Eager to learn, independent, and proactive
Able to easily switch between analysis, investigation, and practical process improvements
Living in the Twente region (or willing to commute within 45 minutes) and fluently speaking Dutch
Please note that, due to the composition and balance of the current team, we are specifically looking for candidates who are fluent in Dutch and already have permanent eligibility to work within the European Union. Please note that an orientation year (zoekjaar) permit does not meet this requirement.
If you do not meet these requirements, we kindly ask you not to apply, as your application cannot be considered for this position.
Offer
A challenging entry‑level position with significant responsibility and impact
Working within an international, innovative, and fast-growing organization
Plenty of opportunities for personal development and career growth
Collaboration with experienced professionals in data, engineering, and business
A competitive salary and attractive secondary benefits
A professional yet informal working environment with short communication lines
A role with long‑term prospects and international career opportunities
ROSEN is an international and innovative organization focused on high‑end technology and data‑driven solutions for industrial applications. Within ROSEN Europe, a culture of quality, innovation, and continuous development is key. The organization is experiencing strong growth and offers ample opportunities for initiative, development, and long‑term career progression.
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The Netherlands / Global
The Netherlands / Global
The Netherlands / Global
The Netherlands / Global
The Netherlands / Global
The Netherlands / Global