Opportunity Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
dataroles

Senior Data Analyst (m/f/d)

EIT RawMaterials Open
Remote Brussels BerlinDüsseldorf Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at EIT RawMaterials. Remote, Belgium · full-time.

Pay not stated Data Analyst salary

RoleData Analysis & BI
SenioritySenior
LocationBrussels
WorkplaceRemote
EmploymentFull-time
PostedJun 29, 2026
Also hiring inBerlin, Düsseldorf
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain dashboards, reports and self-service analytics, then refine them as business needs change
  • Analyze commodity prices, market indices, supply and demand, trade flows and economic data to identify risks and opportunities
  • Create KPIs and deliver targeted analysis that informs leadership choices, commercial work and market intelligence
  • Shape data models, quality checks and reporting processes with technical partners, documenting definitions and automating manual work
  • Turn stakeholder questions into analytics, explain findings to senior and non-technical audiences, and coach junior analysts

What you bring

  • At least five years in data analytics, business intelligence, market intelligence, commercial analytics or a related field
  • A relevant quantitative degree, or equivalent professional experience in analytics, BI or data visualization
  • Strong commodity-market analysis experience, covering areas such as prices, supply and demand, indices, trading or risk data
  • Advanced skill with Power BI or a comparable visualization platform, plus strong SQL and Python and/or R
  • Experience with data modelling, databases, APIs, ETL/ELT, cloud services and advanced Excel

Who this fits

This senior role suits an analyst who can connect commodity-market data with practical recommendations and work directly with senior stakeholders. The position is a temporary two-year contract, with a possibility of extension, and is based in Germany or Belgium. You should be comfortable presenting a relevant topic in a second-round interview.

From the employer

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.

  1. Application Review: Our team thoroughly reviews each application. Please make sure to submit your CV in English.

  2. Initial Interview (30 minutes): Meet with the hiring manager and recruitment team.

  3. Second Interview (60 minutes): Second interview with a presentation on a relevant topic to the hiring manager and the HR team.

  4. Offer: If successful, receive an offer to join our team.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BIRemote

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.