Data Analyst
Pubblicato il 15-08-2026 - EIT RawMaterials in Città metropolitana di Roma Capitale
Company Description
About EIT RawMaterials
As the world moves towards a greener future, the demand for raw materials—minerals and metals—is set to increase immensely over the next three decades. Europe faces a critical challenge in securing a stable supply of these essential resources. This challenge is where EIT RawMaterials steps in.
EIT RawMaterials is at the forefront of driving innovation and sustainability in the raw materials sector. As an Innovation Community within the European Institute of Innovation and Technology (EIT), we collaborate with over 300 partners across industry, academia, and research institutes. Together, we forge dynamic, long-term partnerships to develop innovative solutions that meet Europe's growing demand for raw materials
Position
Role Overview
The Data Analyst (m/f/d) in the Innovation and Product Development Team supports data‑driven decision‑making by transforming complex commodities and market data into clear, actionable insights. The role focuses on building high‑quality dashboards, analysing trends in minerals and metals markets,
and working closely with internal stakeholders to deliver reliable reporting, meaningful insights, and self‑service analytics solutions that support innovation, strategy, and product development activities.
Tasks and Responsibilities
1. Data Visualisation & Reporting
- Design, build and maintain interactive dashboards and reports (e.g. in Power BI, Tableau, Qlik, or similar tools) for internal stakeholders.
- Translate complex commodities market data (esp. minerals and metals) into clear, user-friendly visual narratives .
- Develop standardised reporting templates and data visualisation guidelines to ensure a consistent look-and-feel and interpretation.
- Implement self-service BI solutions , enabling non-technical users to explore and filter data independently.
- Continuously improve and iterate on dashboards based on user feedback and changing business needs.
2. Data Analysis & Insights Generation
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