Senior Data Analyst

This is a fully remote position, open to applicants in Germany, +1 more country.

📋 Description

• Oversee the design, development, and upkeep of interactive dashboards, reports, and analytical solutions utilizing Power BI, Tableau, Qlik, Looker, or similar BI platforms.

• Convert intricate commodities market data into visual stories that aid executive and operational decision-making.

• Establish and uphold enterprise-wide reporting standards, best practices for visualization, and guidelines for dashboard design.

• Create scalable self-service BI solutions and encourage their usage through user engagement, training, and ongoing enhancements.

• Conduct advanced exploratory and diagnostic analyses concerning commodity prices, market indices, supply-demand indicators, trade flows, and macroeconomic datasets.

• Spot trends, patterns, correlations, risks, and market opportunities in raw materials, advanced materials, and critical minerals markets.

• Formulate KPIs, scorecards, and performance metrics to track market developments and business performance.

• Provide ad hoc analyses to support leadership decisions, commercial initiatives, market intelligence, and corporate reporting.

• Communicate findings through reports, presentations, dashboards, and data storytelling tailored to various audiences.

• Offer evidence-based recommendations for business growth, market positioning, and strategic planning.

• Collaborate with data engineers, data scientists, and subject matter experts to ensure reliable data pipelines.

• Design and enhance data models, semantic layers, reporting datasets, and analytical frameworks.

• Enforce data quality standards, validation processes, and controls.

• Facilitate the 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 boost analytics efficiency.

• Serve as a trusted analytics advisor to Strategy, Business Development, Procurement, Innovation, Finance, Market Intelligence, and Leadership teams.

• Lead requirements-gathering sessions and convert business needs into scalable analytical solutions.

• Convey complex analytical concepts to senior leadership and non-technical stakeholders.

• Organize workshops, training sessions, and knowledge-sharing initiatives.

• Mentor junior analysts and assist in building analytical capabilities.

• Advocate for data visualization, data storytelling, analytics governance, and reporting standards.

• Ensure adherence to data governance, security, privacy, and regulatory requirements.

• Assess innovative analytical methods, including advanced visualizations, predictive analytics, scenario modeling, and forecasting.

• Contribute to the long-term analytics roadmap and enhance data-driven decision-making capabilities.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Statistics, Economics, Engineering, Mathematics, or a related quantitative field, or equivalent professional experience in analytics, business intelligence, or data visualization.

• Over 5 years of experience in Data Analytics, Business Intelligence, Market Intelligence, Commercial Analytics, or a similar analytical role.

• Experience in consulting, professional services, market intelligence, research, commodities, resources, energy, mining, or related industries is highly preferred.

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

• Experience in critical minerals, metals, advanced materials, raw materials, energy, or related sectors is advantageous.

• Proven history of delivering impactful business insights, advanced dashboards, and strategic analytical solutions.

• Experience collaborating with senior stakeholders and facilitating executive decision-making.

• Advanced proficiency in Power BI or equivalent visualization platforms.

• Strong SQL capabilities with experience handling large and complex datasets.

• Proficient in Python (Pandas, NumPy, Plotly, Matplotlib, Seaborn) and/or R.

• Solid understanding of data modeling 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 modeling, and complex formulas.

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

• Submit CV in English.

• Nice-to-have: experience in time-series analysis, forecasting, predictive modeling, market data providers, commodity intelligence platforms, financial data feeds, geospatial analytics, Git, scenario modeling, risk analytics, simulation techniques, and machine learning applications.

🏝️ Benefits

• Commitment to diversity and inclusion.

• Opportunity to collaborate with over 300 partners across industry, academia, and research institutes.

• Two-year contract with the potential for extension.