TL;DR

Research Data Analyst (AI): Deliver data-driven insights and analyses to support science and research policy decisions, focusing on quantitative and qualitative research evaluation and science diplomacy. Focus on developing custom metrics, applying AI/LLM technologies, and communicating complex data to senior policymakers across diverse cultural contexts.

Location: EU/EEA area including Milan, Greece, Spain, Amsterdam, Berlin

Company

%hirify_global% is a global information analytics business specializing in science and health.

What you will do

Produce clear, accurate analyses for research evaluation and strategy projects.
Prepare, clean, and blend data from multiple sources ensuring quality and reproducibility.
Develop insightful visualizations and written insights to communicate complex ideas simply.
Engage with internal teams and external partners to understand needs and propose analytical approaches.
Apply statistical and computational techniques to support modelling, benchmarking, and evaluation.

Requirements

Location: Must be based in the EU/EEA area
Proven experience as a data analyst or similar role.
Python skills including data manipulation libraries; PySpark experience preferred.
Familiarity with AI/LLM technologies and programmatic use of AI models.
Experience with SQL and data modelling.
Strong communication skills and ability to work independently.
Interest in research/science policy and academic research workflows.

Nice to have

Experience with data visualization tools such as Tableau.

Culture & Benefits

Dynamic and international work environment.
Opportunities for professional growth and development.
Commitment to fair and accessible hiring process.