Senior Data Analyst

• 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 visual narratives supporting 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 and drive their adoption through user engagement, training, and continuous improvement
• 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 in raw materials, advanced materials, and critical minerals markets
• Develop KPIs, scorecards, and performance metrics for market developments and business performance
• Deliver ad hoc analyses supporting leadership decisions, commercial initiatives, market intelligence, and corporate reporting
• Present findings through reports, presentations, dashboards, and data storytelling tailored to diverse audiences
• Provide evidence-based recommendations for business growth, market positioning, and strategic planning
• Collaborate with data engineers, data scientists, and subject matter experts on reliable data pipelines
• Design and optimize data models, semantic layers, reporting datasets, and analytical frameworks
• Implement data quality standards, validation processes, and controls
• Support integration of 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
• Automate manual reporting processes and improve analytics efficiency
• Act as a trusted analytics advisor to Strategy, Business Development, Procurement, Innovation, Finance, Market Intelligence, and Leadership teams
• Lead requirements-gathering sessions and translate business needs into scalable analytical solutions
• Present complex analytical concepts to senior leadership and non-technical stakeholders
• Facilitate workshops, training sessions, and knowledge-sharing initiatives
• Mentor junior analysts and contribute to developing analytical capabilities
• Champion data visualization, data storytelling, analytics governance, and reporting standards
• Ensure compliance with data governance, security, privacy, and regulatory requirements
• Evaluate innovative analytical approaches, including advanced visualizations, predictive analytics, scenario modelling, and forecasting
• Contribute to the long-term analytics roadmap and improve data-driven decision-making capabilities

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Statistics, Economics, Engineering, Mathematics, or a related quantitative discipline, or equivalent professional experience in analytics, business intelligence, or data visualization
• 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
• 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
• Submit CV in English
• Nice-to-have: time-series analysis, forecasting, predictive modelling, market data providers, commodity intelligence platforms, financial data feeds, geospatial analytics, Git, scenario modelling, risk analytics, simulation techniques, and machine learning applications

• Commitment to diversity and inclusion
• Opportunity to work with over 300 partners across industry, academia, and research institutes
• Two-year contract with possibility of extension