About The Position

EIT RawMaterials is seeking a Technical Senior Data Analyst to provide support for the M2i Platform and related Business Intelligence activities. The M2i Platform is EIT RawMaterials’ strategic Metals and Minerals Intelligence Platform, designed to consolidate, structure, and visualize raw materials market intelligence. The role involves ensuring the platform is underpinned by high-quality data models, robust datasets, reliable Power BI reports, and technically sound analytical outputs. The contractor will structure, transform, validate, and document raw materials market intelligence data, develop and optimize Power BI dashboards, and contribute to data integration, quality assurance, and technical delivery. This assignment combines advanced Power BI expertise, data modeling, data transformation, analytical dataset design, and raw materials market intelligence to deliver accurate, maintainable, and actionable insights.

Requirements

  • Advanced Power BI expertise
  • Data modeling skills
  • Data transformation skills
  • Analytical dataset design skills
  • Raw materials market intelligence knowledge
  • Ability to work autonomously and independently
  • Ability to provide services on own invoice (B2B/Freelancer)
  • Experience in an agile project framework (e.g., SCRUM or comparable)
  • Experience in a multilingual project framework (English and other)
  • Experience with complex database and ETL (Extract, transform, load) activities
  • Experience with Power BI activities
  • CV of contractor with services and track record / personal references as proof of required programming languages and IT skills
  • Financial offer in Euro as net amount per person hour + VAT
  • Indication of supplier’s insurance coverage (company liability insurance and/or professional liability insurance including maximum amount of coverage in Euro per event per insurance)
  • Tenderers’ declaration form

Nice To Haves

  • Technical Senior Data Analyst support for M2i Platform and related Business Intelligence activities
  • Understanding of source data and analytical needs
  • Configuration, testing, and optimization of Power BI and Microsoft Fabric components
  • Technical checks on analytical outputs
  • Maintenance of integration between source systems, Microsoft 365, Power BI, Microsoft Fabric, and other relevant data environments
  • Maintenance of technical documentation
  • Preparation of handover material
  • Implementation of platform architecture, data model, and backend improvements
  • Integration and validation of internal or external data sources
  • Migration of calculations, business logic, or data transformations from Power BI into Microsoft Fabric
  • Optimization of Fabric pipelines, semantic models, Power BI datasets, embedded reports, refresh processes, or processing efficiency
  • Design and implementation of multi-tenant architecture
  • Design and implementation of user metrics and platform usage monitoring solution
  • Documentation of governance, standardization, or quality-control improvements
  • Preparation of the platform for future releases

Responsibilities

  • Provide Technical Senior Data Analyst support for the M2i Platform and related Business Intelligence activities.
  • Ensure raw materials data is converted into reliable, maintainable, and actionable analytical outputs.
  • Cover the full analytical data lifecycle, from understanding source data and analytical needs to data modeling, validation, reporting support, and technical handover.
  • Support the technical evolution of the platform to ensure dashboards, datasets, and analytical outputs remain scalable, consistent, and fit for decision-making.
  • Analyze source data, reporting requirements, and market intelligence use cases to define appropriate datasets, semantic models, indicators, measures, and dashboard logic.
  • Configure, test, and optimize Power BI and Microsoft Fabric components, including data transformations, semantic models, calculations, reports, refresh processes, and performance improvements.
  • Perform technical checks on analytical outputs, including data consistency, reconciliation, refresh reliability, usability, and maintainability.
  • Maintain coherent integration between source systems, Microsoft 365, Power BI, Microsoft Fabric, and other relevant data environments.
  • Maintain concise technical documentation covering source data, assumptions, transformation logic, data model design, quality checks, dashboard configuration, and known limitations.
  • Prepare handover material for continuity, maintenance, and future development.
  • Implement and document improvements to the platform backend, lakehouse architecture, or data model.
  • Integrate and validate internal or external data sources.
  • Implement migration of selected calculations, business logic, or data transformations from Power BI into Microsoft Fabric.
  • Optimize Fabric pipelines, semantic models, Power BI datasets, embedded reports, refresh processes, or processing efficiency.
  • Design and implement a multi-tenant architecture for separation of internal and external environments, including secure authentication and access management.
  • Design and implement a solution for capturing user metrics and monitoring platform usage.
  • Document governance, standardization, or quality-control improvements.
  • Prepare the platform for future releases by onboarding additional commodities, sectors, dashboards, datasets, and analytical capabilities.
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