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Data Analyst for Policy making

RELX

Berlin

Vor Ort

EUR 50.000 - 70.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

A global data and analytics company is seeking a Research Data Analyst to engage with senior policymakers and deliver insights supporting science policy decisions. You will blend data from multiple sources and communicate complex ideas simply, contributing both qualitative and quantitative analyses. Ideal candidates possess experience in data analysis, proficiency in Python, and familiarity with AI technologies. This role offers a dynamic international environment with opportunities for growth.

Leistungen

Professional growth opportunities
Dynamic and international work environment

Qualifikationen

  • Proven experience as a data analyst or similar role.
  • Python skills including data manipulation libraries.
  • Familiarity with AI/LLM technologies.
  • Experience extracting and modelling data using SQL or PySpark.
  • Ability to communicate technical concepts clearly to non-technical audiences.
  • Strong relationship-building and negotiation skills.
  • Ability to work independently and manage multiple tasks.
  • Interest in research/science policy and funding systems.

Aufgaben

  • Produce clear and accurate analyses for research evaluation projects.
  • Prepare and blend data from multiple sources ensuring quality.
  • Develop insightful visualizations and communicate complex ideas simply.
  • Engage with teams and partners to understand needs and propose approaches.
  • Apply statistical or computational techniques for evaluation work.

Kenntnisse

Data analysis
Python
SQL
Intercultural communication
Negotiation

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 -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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