Senior Data Analyst

h3bCompany Description /b /h3 pbAbout EIT RawMaterials /b /p pAs 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. /p pEIT RawMaterials is at the forefront of driving innovation and sustainability in the raw materials sector. bAs an Innovation Community within the European Institute of Innovation and Technology, we collaborate with over 300 partners across industry, academia, and research institutes. /b Together, we forge dynamic, long-term partnerships to develop innovative solutions that meet Europe's growing demand for raw materials /p h3bPosition /b /h3 h3bRole Overview /b /h3 pWe are seeking an experienced and highly analytical bSenior Data Analyst (m/f/d) /b 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. /p h3bTasks and Responsibilities /b /h3 h3b1. Advanced Analytics, Reporting Visualization /b /h3 ul liLead the design, development, and maintenance of interactive dashboards, reports, and analytical solutions using Power BI, Tableau, Qlik, Looker, or similar BI platforms. /li liTranslate complex commodities market data into clear, compelling visual narratives that support executive and operational decision-making. /li liDefine and maintain enterprise-wide reporting standards, visualization best practices, and dashboard design guidelines. /li liDevelop scalable self-service BI solutions that empower business users to independently access and analyze data. /li liContinuously optimize reporting solutions, incorporating stakeholder feedback and evolving business requirements. /li liDrive adoption of analytics solutions through user engagement, training, and continuous improvement initiatives. /li /ul h3b2. Data Analysis Insight Generation /b /h3 ul liPerform advanced exploratory and diagnostic analyses across commodity prices, market indices, supply-demand indicators, trade flows, and macroeconomic datasets. /li liIdentify trends, patterns, correlations, risks, and market opportunities within raw materials, advanced materials, and critical minerals markets. /li liDevelop meaningful KPIs, scorecards, and performance metrics to monitor market developments and business performance. /li liDeliver strategic ad hoc analyses to support leadership decisions, commercial initiatives, market intelligence activities, and corporate reporting. /li liPresent analytical findings through concise reports, presentations, dashboards, and data storytelling techniques tailored to diverse audiences. /li liProvide evidence-based recommendations that support business growth, market positioning, and strategic planning. /li /ul h3b3. Data Management, Modelling Analytics Enablement /b /h3 ul liCollaborate with data engineers, data scientists, and subject matter experts to ensure reliable, scalable, and efficient data pipelines. /li liDesign and optimize data models, semantic layers, reporting datasets, and analytical frameworks supporting enterprise analytics. /li liDefine and implement data quality standards, validation processes, and controls to ensure accuracy, consistency, and trust in analytics outputs. /li liSupport the integration of new internal and external data sources, including APIs, market intelligence platforms, databases, and third-party feeds. /li liDocument data definitions, transformation logic, business rules, and analytical methodologies to ensure transparency and knowledge sharing. /li liIdentify opportunities to automate manual reporting processes and improve analytics efficiency. /li /ul h3b4. Stakeholder Consulting Business Partnership /b /h3 ul liAct as a trusted analytics advisor to stakeholders across Strategy, Business Development, Procurement, Innovation, Finance, Market Intelligence, and Leadership teams. /li liLead requirements gathering sessions and translate business needs into scalable analytical solutions. /li liInfluence decision-making by providing objective analysis, insights, and recommendations grounded in data. /li liPresent complex analytical concepts and findings to senior leadership and non-technical stakeholders in a clear and accessible manner. /li liFacilitate workshops, training sessions, and knowledge-sharing initiatives to increase data literacy across the organization. /li liMentor junior analysts and contribute to developing analytical capabilities within the team. /li liDr