Data Analyst (mfd)

Company Description

About EIT RawMaterials

As the world moves towards a greener future the demand for raw materialsminerals and metalsis 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 Europes growing demand for raw materials

Position

Role Overview

The Data Analyst (m/f/d) in the Innovation and Product Development Team supports datadriven decisionmaking by transforming complex commodities and market data into clear actionable insights. The role focuses on building highquality dashboards analysing trends in minerals and metals markets and working closely with internal stakeholders to deliver reliable reporting meaningful insights and selfservice 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

• 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.

3. Data Management & Engineering Collaboration

• 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.

4. Stakeholder Engagement & Consulting

• 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.

5. Governance Standards & Innovation

• 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).

Requirements & Skills

1. Education & Background

• 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.

2. Professional Experience

• 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 supplydemand 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

3. Technical Skills Must Have

• 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).

4. Technical Skills Nice to Have

• Timeseries 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.

Other information

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.