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Policy Analyst


of the Tasks

Following tasks will be performed by the external service provider:

  • Lead, structure and document stakeholder consultations (QuIC, Member States, industry and other actors).

  • Analyse public and targeted consultation results and extract clear, policy-relevant findings.

  • Support the coordination and synthesis of the different quantum technology roadmap exercises.

  • Map and analyse quantum supply chains, in close cooperation with JRC, Chips JU and QuIC.

  • Provide analytical and drafting input to the Impact Assessment led internally by the Commission.

  • Support briefing and policy-preparation tasks across interservice processes and RSB milestones.


Knowledge and Skills
  • Very good knowledge of EU digital and industrial policy, with a strong interest in advanced technologies; demonstrated ability to rapidly acquire working knowledge of quantum technologies and their applications.

  • Proven experience in designing, organising, and analysing stakeholder consultations (public and/or targeted), ideally in an EU policy context.

  • Experience with policy analysis and impact assessment in the EU framework (e.g. IA guidelines, better regulation toolbox) is a strong asset.

  • Very good understanding of technology and innovation ecosystems, industrial supply chains, and their mapping or analysis.

  • Ability to structure and analyse both quantitative and qualitative data (e.g. survey results, written submissions, interviews) efficiently and fast.

  • Ability to give clear business and technical presentations to mixed audiences, including senior management and external stakeholders.

  • Ability to apply high-quality standards in drafting and in analytical work, including proper referencing and traceability of evidence.

  • Ability to cope with fast-evolving technologies and policy priorities in the field of quantum technologies and digital innovation.

  • Very good communication skills with both technical and non-technical audiences, including the ability to explain complex concepts in simple terms.

  • Strong analysis and problem-solving skills, with the capacity to propose pragmatic and well-reasoned options.

  • Capability to write clear, structured, and concise technical, analytical, and policy documents (notes, reports, staff working documents, briefings).

  • Ability to participate effectively in technical and policy meetings and contribute constructively to discussions.

Specific Expertise
  • At least 5 years of professional experience in policy analysis, technology policy, industrial policy, or related fields, preferably at EU or international level.

  • At least 3 years of experience in designing and/or analysing stakeholder consultations (public and/or targeted) for policy development or impact assessment.

  • Demonstrated experience in working with advanced or emerging technologies (e.g. quantum, microelectronics, high-performance computing, AI, cloud, cybersecurity) in a policy, strategy, or techno-economic context.

  • Proven experience in drafting high-quality analytical and policy documents (e.g. staff working documents, impact assessment contributions, roadmap/strategy reports, policy briefs).

  • Experience with supply chain mapping and/or ecosystem analyses (e.g. industrial value chains, critical raw materials, strategic dependencies) is a strong asset.

  • Experience of working with or within EU institutions, EU-funded programmes, or similar international organisations.

  • Practical experience with standard office and collaboration tools used in the Commission environment (e.g. Excel, PowerPoint, Word, SharePoint, Teams; experience with survey tools and basic data analysis tools is an asset).

Certifications & Standards
  • No formal certification is strictly mandatory for the performance of the tasks. The following certifications and standards would be considered an asset:

  • Certification in project management (e.g. PRINCE2 Foundation, PM², PMP, or equivalent).

  • Certification or formal training in policy analysis, impact assessment, or evaluation.

  • Any relevant certification or recognised training in data analysis, statistics, or survey methodology.

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