Data Analyst | International Project | Ispra, Italy
Pubblicato il 10-10-2026 - Ayesa Digital in Ispra
Every professional in our company is vital to us. Thanks to their talent, we continue to expand; today, we are a global team of over 11,000 people working toward a common goal.
We are looking for a Data Analyst to join an international and multicultural environment supporting key scientific and policy initiatives within a European institution. The selected professional will play a crucial role in transforming data into meaningful insights, supporting evidence-based decision-making, stakeholder engagement activities, and the communication of complex information to both specialist and non-specialist audiences.
What will you do?
- Collect, clean, validate, and structure data from multiple sources, including spreadsheets, surveys, and structured datasets.
- Analyse datasets to identify trends, patterns, priorities, and actionable insights that support business, scientific, and policy activities.
- Design and administer surveys and structured data collection exercises, including questionnaire design, response logic, and respondent segmentation.
- Consolidate and analyse survey results,
transforming findings into structured and meaningful outputs.
- Organise and categorise datasets and content using metadata, classifications, and data management best practices.
- Ensure data quality through validation rules, consistency checks, and reconciliation against source information.
- Support the publication and management of structured data within web platforms and digital environments.
- Contribute to defining requirements for data presentation, filtering systems, categorisation structures, and data visualisation solutions.
- Support the development of dashboards, reports, and visualisation tools that communicate key indicators and insights.
- Present analytical findings through charts, infographics, maps, presentations, and other visual communication formats.
- Collaborate closely with scientific and policy stakeholders to understand business needs and translate them into struc