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Senior Data Analyst (m/f/d)

EIT RawMaterials · Brussels, Belgium · Berlin, Germany · Düsseldorf, Germany · Remote

  • Agriculture & Mining
  • 51–200 employees
  • Berlin
100100

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Actively hiring

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  • Posted today
  • Still listed on the employer's own board

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Senior Data Analyst (m/f/d) at EIT RawMaterials. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

# **Company Description**

**About EIT RawMaterials**

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. 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

### **Position**

**Role Overview**

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.

**Tasks and Responsibilities**

**1. Advanced Analytics, Reporting & 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 & 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 & 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 & 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 & 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.

### **Qualifications & Experience**

**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 Skills**

**Essential**

  • 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 information**

**Additional Information & Our Recruitment Process**

**Commitment to Diversity**

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

**Employment Type**

Temporary Position on a two-year contract with the possibility of extension.

**Position Location

Germany, Belgium**

**The position will stay open until a successful candidate is chosen.**

**Application Review

** Our team thoroughly reviews each application. **Please make sure to submit your CV in English.**

**Initial Interview** (30 minutes)

Meet with the hiring manager and recruitment team.

**Second Interview** (60 minutes)

Second interview with a presentation on a relevant topic to the hiring manager and the HR team.

**Offer**

If successful, receive an offer to join our team.

Skills

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