
Senior Data Analyst (m/f/d)
EIT RawMaterials · Brussels, Belgium · Berlin, Germany · Düsseldorf, Germany · Remote
- Agriculture & Mining
- 51–200 employees
- Berlin
All reasons
In its favour
- Posted today
- Still listed on the employer's own board
# **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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