Data Analyst for Policy making

RELX INC; Berlin; Hybrid; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A global research organization is seeking a Research Data Analyst to engage with policymakers and provide data-driven insights. The ideal candidate will have strong Python skills and experience in data analysis, as well as the ability to communicate complex concepts to non-technical audiences. You'll be responsible for producing analyses, preparing data, and developing insightful visualizations to support research strategy and evaluation. This role supports important science policy decisions and offers professional growth opportunities.

Leistungen

Professional growth opportunities

Dynamic international work environment

Qualifikationen

• Proven experience as a data analyst or similar role.
• Strong Python skills, with experience in data manipulation.
• Ability to communicate technical concepts clearly.

Aufgaben

• Produce clear, accurate analyses for research evaluation.
• Prepare, clean, and blend data from various sources.
• Develop visualizations and written insights.

Kenntnisse

Data analysis

Python

SQL

Communication

Relationship-building

Tools

PySpark

Tableau

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 other strategic analytical projects on scientific and technological research. You will contribute quantitative and qualitative analyses, develop custom metrics and 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.

Disability Accommodation

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or by contacting 1‑855‑833‑5120.

Equal Opportunity Employer

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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