EIT RawMaterials

<h2>Company Description</h2>About EIT RawMaterialsAs 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, 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<h3>Position</h3>Role OverviewWe 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 Responsibilities1. Advanced Analytics, Reporting &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 organization's data-driven decision-making capabilities.<h3>Qualifications &amp; Experience</h3>Education· 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.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 SkillsEssential· 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 informationAdditional Information &amp; Our Recruitment Process<ul><li>Commitment to Diversity: EIT RawMaterials is committed to diversity and inclusion. We encourage applications from all qualified individuals, regardless of background.</li><li>Employment Type: Temporary Position on a two-year contract with the possibility of extension.</li><li>Position Location: Germany, Belgium</li></ul>The position will stay open until a successful candidate is chosen.<ol><li>Application Review: Our team thoroughly reviews each application. Please make sure to submit your CV in English.</li><li>Initial Interview (30 minutes): Meet with the hiring manager and recruitment team.</li><li>Second Interview (60 minutes): Second interview with a presentation on a relevant topic to the hiring manager and the HR team.</li><li>Offer: If successful, receive an offer to join our team.</li></ol>

Senior Data Analyst (m/f/d)

<h3>Company Description</h3>About EIT RawMaterialsAs 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<h3>Position</h3>Role OverviewThe 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.<h3>Tasks and Responsibilities</h3><h5>1. Data Visualisation &amp; Reporting</h5><ul><li>Design, build and maintain interactive dashboards and reports (e.g. in Power BI, Tableau, Qlik, or similar tools) for internal stakeholders.</li><li>Translate complex commodities market data (esp. minerals and metals) into clear, user-friendly visual narratives.</li><li>Develop standardised reporting templates and data visualisation guidelines to ensure a consistent look-and-feel and interpretation.</li><li>Implement self-service BI solutions, enabling non-technical users to explore and filter data independently.</li><li>Continuously improve and iterate on dashboards based on user feedback and changing business needs.</li></ul><h5>2. Data Analysis &amp; Insights Generation</h5><ul><li>Perform exploratory data analysis on commodity price data, market indices, supply-demand indicators, and other relevant datasets.</li></ul><ul><li>Identify patterns, trends, correlations, and anomalies in raw, advanced and critical materials markets.</li><li>Prepare ad-hoc analyses and visualisations to support strategic projects, management decisions, and external reporting.</li><li>Develop KPIs and metrics to monitor market developments and internal performance indicators.</li><li>Summarise findings in clear, concise insight reports, including visual storytelling and key messages tailored to the audience.</li></ul><h5>3. Data Management &amp; Engineering Collaboration</h5><ul><li>Work closely with other teams or experts to ensure reliable data pipelines, from data ingestion to visualisation.</li></ul><ul><li>Contribute to the design of data models, semantic layers, and datasets optimised for BI and visualisation tools.</li><li>Help define and maintain data quality checks (e.g. completeness, consistency, timeliness) for commodities and market data.</li><li>Support integration of external data sources (market feeds, APIs, databases, files) into the analytics environment.</li><li>Document data sources, definitions, transformations and business logic used in dashboards and reports.</li></ul><h5>4. Stakeholder Engagement &amp; Consulting</h5><ul><li>Act as a trusted partner for internal stakeholders (e.g. business development, strategy, innovation, procurement, finance).</li><li>Work with stakeholders to refine requirements, prioritise dashboard features, and understand decision-making needs.</li><li>Provide training and guidance to colleagues on how to interpret and use dashboards and visualisations.</li><li>Present key findings and dashboards to non-technical audiences, explaining methodology, assumptions, and limitations.</li></ul><ul><li>Critically review data to spot errors, inconsistencies, and anomalies in large datasets.</li></ul><ul><li>Collect and structure user feedback to drive continuous improvement of analytics products.</li></ul><h5>5. Governance, Standards &amp; Innovation</h5><ul><li>Contribute to best practices and standards for data visualisation, data storytelling, and reporting within the organisation.</li><li>Ensure compliance with data governance, security and privacy policies.</li><li>Stay up to date on tools, methods and trends in data visualisation, BI and commodities analytics.</li><li>Prototype and test new visualisation approaches (e.g. advanced charts, geospatial visualisations, scenario simulations).</li></ul><h3>Requirements &amp; Skills</h3><h5>1. Education &amp; Background</h5><ul><li>Degree in Computer Science, Data/Information Systems, Data Science, Statistics, Economics, Engineering, or similar quantitative field.</li><li>Equivalent experience in data analytics and visualisation is also considered.</li></ul><h5>2. Professional Experience</h5><ul><li>3+ years in a Data Analyst, BI Analyst, or Visualisation-focused role.</li><li>Any consulting background would be appreciated</li><li>Experience with commodities/commodity market data, ideally in minerals or metals.</li><li>Strong background in analysing prices, indices, supply–demand, trading or risk-related datasets.</li><li>Exposure to raw, advanced or critical materials is a plus.</li><li>Proven ability to deliver business-relevant dashboards and insights.</li><li>Exposure to Market Intelligence topics is a plus</li></ul><h5>3. Technical Skills – Must Have</h5><ul><li>Data Visualisation: Advanced skills in Power BI, Tableau, Qlik, or Looker, including modelling and complex calculations.</li><li>Analysis &amp; Querying: Strong SQL + experience with Python (pandas, plotly, matplotlib) or R.</li><li>Data Infrastructure: Understanding of databases, ETL/ELT, APIs, and preferably cloud environments (Azure, AWS, GCP).</li><li>Data Modelling &amp; Quality: Ability to build reporting models and ensure data quality and validation.</li><li>Excel: Advanced user (Power Query, pivot tables, formulas).</li></ul><h5>4. Technical Skills – Nice to Have</h5><ul><li>Time‑series forecasting for commodity prices.</li><li>Experience with financial/market data feeds &amp; APIs.</li><li>Geospatial visualisation skills (GIS, maps).</li><li>Familiarity with Git or collaborative development.</li><li>Understanding of risk analytics or scenario modelling.</li></ul><h3>Other information</h3>Additional Information &amp; Our Recruitment Process<ul><li>Commitment to Diversity: EIT RawMaterials is committed to diversity and inclusion. We encourage applications from all qualified individuals, regardless of background.</li><li>Employment Type: Temporary Position on a two-year contract with the possibility of extension.</li><li>Position Location: Germany, Belgium, Poland, Italy, Slovenia, Latvia, Finland, Greece, Hungary and Austria</li></ul>The position will stay open until a successful candidate is chosen.<ol><li>Application Review: Our team thoroughly reviews each application. Please make sure to submit your CV in English.</li><li>Initial Interview (30 minutes): Meet with the hiring manager and recruitment team.</li><li>Second Interview (60 minutes): Second interview with a presentation on a relevant topic to the hiring manager and the HR team.</li><li>Offer: If successful, receive an offer to join our team.</li></ol>

EIT RawMaterials

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Senior Data Analyst (m/f/d)

Data Analyst (m/f/d)

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