Senior Data Analyst (mfd)

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 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

Role Overview

We are seeking an experienced and highly analytical Senior Data Analyst (m/f/d) to transform complex market and business data into actionable insights that drive strategic decision-making. The successful candidate will lead the design and delivery of advanced analytics solutions develop impactful visualizations and partner with stakeholders across the business to provide data-driven recommendations. This role combines deep analytical expertise business acumen and strong stakeholder management skills with a particular focus on commodities minerals metals and critical materials markets.

Tasks and Responsibilities

1. Advanced Analytics Reporting & Visualization

Lead the design development and maintenance of interactive dashboards reports and analytical solutions using Power BI Tableau Qlik Looker or similar BI platforms.

Translate complex commodities market data into clear compelling visual narratives that support executive and operational decision-making.

Define and maintain enterprise-wide reporting standards visualization best practices and dashboard design guidelines.

Develop scalable self-service BI solutions that empower business users to independently access and analyze data.

Continuously optimize reporting solutions incorporating stakeholder feedback and evolving business requirements.

Drive adoption of analytics solutions through user engagement training and continuous improvement initiatives.

2. Data Analysis & Insight Generation

Perform advanced exploratory and diagnostic analyses across commodity prices market indices supply-demand indicators trade flows and macroeconomic datasets.

Identify trends patterns correlations risks and market opportunities within raw materials advanced materials and critical minerals markets.

Develop meaningful KPIs scorecards and performance metrics to monitor market developments and business performance.

Deliver strategic ad hoc analyses to support leadership decisions commercial initiatives market intelligence activities and corporate reporting.

Present analytical findings through concise reports presentations dashboards and data storytelling techniques tailored to diverse audiences.

Provide evidence-based recommendations that support business growth market positioning and strategic planning.

3. Data Management Modelling & Analytics Enablement

Collaborate with data engineers data scientists and subject matter experts to ensure reliable scalable and efficient data pipelines.

Design and optimize data models semantic layers reporting datasets and analytical frameworks supporting enterprise analytics.

Define and implement data quality standards validation processes and controls to ensure accuracy consistency and trust in analytics outputs.

Support the integration of new internal and external data sources including APIs market intelligence platforms databases and third-party feeds.

Document data definitions transformation logic business rules and analytical methodologies to ensure transparency and knowledge sharing.

Identify opportunities to automate manual reporting processes and improve analytics efficiency.

4. Stakeholder Consulting & Business Partnership

Act as a trusted analytics advisor to stakeholders across Strategy Business Development Procurement Innovation Finance Market Intelligence and Leadership teams.

Lead requirements gathering sessions and translate business needs into scalable analytical solutions.

Influence decision-making by providing objective analysis insights and recommendations grounded in data.

Present complex analytical concepts and findings to senior leadership and non-technical stakeholders in a clear and accessible manner.

Facilitate workshops training sessions and knowledge-sharing initiatives to increase data literacy across the organization.

Mentor junior analysts and contribute to developing analytical capabilities within the team.

Drive user adoption and engagement through regular feedback collection and enhancement of analytics products.

5. Governance Innovation & Continuous Improvement

Champion best practices in data visualization data storytelling analytics governance and reporting standards.

Ensure compliance with data governance security privacy and regulatory requirements.

Stay current with emerging technologies methodologies and market trends in business intelligence analytics and commodities markets.

Evaluate and pilot innovative analytical approaches including advanced visualizations predictive analytics scenario modelling and forecasting techniques.

Contribute to the long-term analytics roadmap and continuously improve the organizations data-driven decision-making capabilities.

Education

Bachelors or Masters degree in Computer Science Data Science Information Systems Statistics Economics Engineering Mathematics or a related quantitative discipline.

Equivalent professional experience in analytics business intelligence or data visualization will also be considered.

Professional Experience

5 years of experience in Data Analytics Business Intelligence Market Intelligence Commercial Analytics or a related analytical role.

Experience working in consulting professional services market intelligence research commodities resources energy mining or related industries is highly desirable.

Strong experience analyzing commodity markets pricing data supply-demand dynamics market indices trading data or risk-related datasets.

Experience within critical minerals metals advanced materials raw materials energy or adjacent sectors is preferred.

Proven track record of delivering impactful business insights advanced dashboards and strategic analytical solutions.

Experience working directly with senior stakeholders and supporting executive decision-making.

Technical Skills

Essential

Advanced expertise in Power BI or equivalent visualization platforms.

Strong SQL skills with the ability to work across large and complex datasets.

Proficiency in Python (Pandas NumPy Plotly Matplotlib Seaborn) and/or R.

Strong understanding of data modelling concepts including star schema semantic models and KPI frameworks.

Experience working with databases APIs ETL/ELT processes and cloud environments (Azure AWS or GCP).

Advanced Excel skills including Power Query Pivot Tables data modelling and complex formulas.

Strong knowledge of data quality management validation techniques and governance principles.

Nice to Have

Time-series analysis forecasting and predictive modelling experience.

Experience with market data providers commodity intelligence platforms and financial data feeds.

Geospatial analytics and visualization expertise.

Familiarity with version control tools such as Git.

Knowledge of scenario modelling risk analytics and simulation techniques.

Exposure to machine learning applications supporting business and market analysis.

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

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.