Data Analyst for Policy making

Elsevier; Berlin; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A global research data organization seeks a Research Data Analyst in Berlin to produce data-driven insights supporting science policy decisions and research evaluation. The ideal candidate will have proven experience as a data analyst, proficiency in Python and SQL, and strong intercultural communication skills. This role involves collaborating with internal teams and external partners to deliver high-quality analytics and insights. Additionally, experience with data visualization tools and knowledge of academic research workflows are advantageous.

Leistungen

Professional growth opportunities

Dynamic international work environment

Qualifikationen

• Proven experience as a data analyst or similar role.
• Familiarity with AI/LLM technologies.
• Understanding of academic research workflows.

Aufgaben

• Produce clear, accurate analyses for research evaluation.
• Prepare, clean, and blend data from multiple sources.
• Develop insightful visualizations that communicate complex ideas.

Kenntnisse

Data analysis

Python

Data manipulation libraries

SQL

Intercultural communication

Statistical techniques

Data visualization

Negotiation skills

Tools

Tableau

PySpark

Jobbeschreibung

Research Data Analyst – Europe (EEA)

Location: EU/EEA area.

About the Role

This role requires regular interaction with government agencies, research funders, and academic institutions worldwide. Candidates must be comfortable engaging diplomatically and professionally with senior policymakers across diverse cultural contexts.

As a Research Data Analyst, you will be part of a global team delivering data-driven insights to support science/research policy decisions, research evaluation, science diplomacy and -more in general- strategic analytical projects on scientific and technological research. You will contribute quantitative and qualitative analyses, develop custom metrics/methodologies, and help translate data into actionable recommendations for high-level stakeholders.

Key Responsibilities

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

Required Skills & Experience

• Proven experience as a data analyst or similar role.
• Python skills (including data manipulation libraries); PySpark experience preferred.
• Familiarity with AI/LLM technologies, in particular programmatic use of LLMs and other AI models' APIs/libraries or self-hosted model workflows.
• Experience extracting and modelling data using SQL/pyspark/etc.
• Ability to communicate technical concepts clearly to non-technical audiences.
• Strong relationship-building, negotiation, and intercultural communication skills.
• Ability to work independently, manage multiple tasks, and deliver high-quality outputs on time.
• Interest in research/science policy, science diplomacy, scientific funding systems, and the role of research/science in society.
• Understanding of academic research workflows or prior experience working with research institutions.

Nice to Have

• Experience with data visualization tools (e.g., Tableau).

What we offer:

A dynamic and international work environment, with opportunities for professional growth and development.

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