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About the Role

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.

Responsibilities

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.
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.
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.
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.
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 organization's data-driven decision-making capabilities.

Requirements

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.

Skills

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.
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.

Location

Germany
Belgium

Work Type

Temporary Position
two-year contract
possibility of extension

Experience Level

Senior

Education Level

Bachelor's or Master's 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.

About the Company

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.
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 Europe's growing demand for raw materials.

Equal Opportunity

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