Data Analyst (m/f/d)

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

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.

• 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.

• Perform exploratory data analysis on commodity price data, market indices, supply-demand indicators, and other relevant datasets.

• Identify patterns, trends, correlations, and anomalies in raw, advanced and critical materials markets.

• Prepare ad-hoc analyses and visualisations to support strategic projects, management decisions, and external reporting.

• Develop KPIs and metrics to monitor market developments and internal performance indicators.

• Summarise findings in clear, concise insight reports, including visual storytelling and key messages tailored to the audience.

• Work closely with other teams or experts to ensure reliable data pipelines, from data ingestion to visualisation.

• Contribute to the design of data models, semantic layers, and datasets optimised for BI and visualisation tools.

• Help define and maintain data quality checks (e.g. completeness, consistency, timeliness) for commodities and market data.

• Support integration of external data sources (market feeds, APIs, databases, files) into the analytics environment.

• Document data sources, definitions, transformations and business logic used in dashboards and reports.

• Act as a trusted partner for internal stakeholders (e.g. business development, strategy, innovation, procurement, finance).

• Work with stakeholders to refine requirements, prioritise dashboard features, and understand decision-making needs.

• Provide training and guidance to colleagues on how to interpret and use dashboards and visualisations.

• Present key findings and dashboards to non-technical audiences, explaining methodology, assumptions, and limitations.

• Critically review data to spot errors, inconsistencies, and anomalies in large datasets.

• Collect and structure user feedback to drive continuous improvement of analytics products.

• Contribute to best practices and standards for data visualisation, data storytelling, and reporting within the organisation.

• Ensure compliance with data governance, security and privacy policies.

• Stay up to date on tools, methods and trends in data visualisation, BI and commodities analytics.

• Prototype and test new visualisation approaches (e.g. advanced charts, geospatial visualisations, scenario simulations).

• Degree in Computer Science, Data/Information Systems, Data Science, Statistics, Economics, Engineering, or similar quantitative field.

• Equivalent experience in data analytics and visualisation is also considered.

• 3+ years in a Data Analyst, BI Analyst, or Visualisation-focused role.

• Any consulting background would be appreciated

• Experience with commodities/commodity market data, ideally in minerals or metals.

• Strong background in analysing prices, indices, supply–demand, trading or risk-related datasets.

• Exposure to raw, advanced or critical materials is a plus.

• Proven ability to deliver business-relevant dashboards and insights.

• Exposure to Market Intelligence topics is a plus

• Data Visualisation: Advanced skills in Power BI, Tableau, Qlik, or Looker, including modelling and complex calculations.

• Analysis & Querying: Strong SQL + experience with Python (pandas, plotly, matplotlib) or R.

• Data Infrastructure: Understanding of databases, ETL/ELT, APIs, and preferably cloud environments (Azure, AWS, GCP).

• Data Modelling & Quality: Ability to build reporting models and ensure data quality and validation.

• Excel: Advanced user (Power Query, pivot tables, formulas).

• Time‑series forecasting for commodity prices.

• Experience with financial/market data feeds & APIs.

• Geospatial visualisation skills (GIS, maps).

• Familiarity with Git or collaborative development.

• Understanding of risk analytics or scenario modelling.

Additional Information & Our Recruitment Process

• Commitment to Diversity: EIT RawMaterials is committed to diversity and inclusion. We encourage applications from all qualified individuals, regardless of background.

• Employment Type: Temporary Position on a two-year contract with the possibility of extension.

• Position Location: Germany, Belgium, Poland, Italy, Slovenia, Latvia, Finland, Greece, Hungary and Austria

The position will stay open until a successful candidate is chosen.

1. Application Review: Our team thoroughly reviews each application. Please make sure to submit your CV in English.

2. Initial Interview (30 minutes): Meet with the hiring manager and recruitment team.

3. Second Interview (60 minutes): Second interview with a presentation on a relevant topic to the hiring manager and the HR team.

4. Offer: If successful, receive an offer to join our team.