Climate Data Analyst (f/m/d)

Nur für registrierte Mitglieder
Berlin
EUR 45.000 - 65.000
Jobbeschreibung

We’re seeking a Climate Data Analyst to join our Climate Science and Impacts Team. You will support projects such as Pacific resilience — Building Our Pacific Loss and Damage Response (BOLD Response) — which aids Pacific Island countries in understanding, modeling, and responding to long-term climate impacts. Your role includes developing high-resolution climate hazard projections, analyzing adaptation limits, and modeling risks from extreme weather and slow-onset processes. These insights will inform national strategies and shape effective loss and damage responses for vulnerable island states.

Additionally, you will contribute to the Climate Analytics’ Climate Science and Impacts Team by analyzing climate impacts and assessing socio-economic implications across regions, from developing countries to major emitters. Your work will support tools like the Climate Impact Explorer (https://climate-impact-explorer.climateanalytics.org/) and various projects related to climate change costs, including informing the financial sector.

Your Responsibilities

  1. Work with large datasets and conduct statistical analyses for climate modeling
  2. Analyze current and future climate scenarios for different emission pathways
  3. Contribute to risk and vulnerability assessments across sectors such as agriculture, water, and urban systems
  4. Contribute to tools like the Climate Impact Explorer
  5. Assess the socio-economic implications of climate change
  6. Design and manage climate data databases, ensuring quality and consistency
  7. Prepare technical and non-technical reports and contribute to scientific publications
  8. Document methodologies and translate findings into policy-relevant outputs
  9. Communicate results effectively to technical and non-technical audiences
  10. Provide training on climate data tools and risk assessment to partners
  11. Adapt methods based on emerging issues and stakeholder needs
  12. Show initiative by developing ideas, proposal writing, networking, and fundraising

Your Profile

Education and Experience

  • Master’s degree in Earth Sciences, Physics, Climate Science, Environmental Science, Data Science, or related field
  • At least 3 years of relevant experience in climate research and data analysis
  • Experience handling complex climate datasets (e.g., netCDF, CMIP, CORDEX, ISIMIP) and conducting impact research
  • Proficiency with climate and impact models and their outputs
  • Expertise in climate impact modeling for extreme events; experience with economic damage assessments (e.g., CLIMADA) is a plus
  • Experience engaging with financial institutions is an asset
  • Familiarity with stress testing exercises is advantageous
  • Knowledge of IPCC outputs and loss & damage frameworks is required
  • Experience working with developing countries on climate issues is a plus

Skills

  • Proficiency in Python and R for data processing and analysis
  • Advanced GIS and spatial analysis skills
  • Experience with machine learning, predictive modeling, and integrating diverse data types
  • Web development skills (Java/HTML) are an asset
  • Strong motivation and ability to learn new skills
  • Excellent communication skills for stakeholder engagement
  • Ability to work independently and in teams
  • Fluency in English
  • Commitment to organizational values and ethical conduct

Our Offer

  • A purposeful job in a committed team making a positive climate impact
  • Diverse, inclusive, and supportive work environment
  • International and collaborative atmosphere

Conditions: Fixed-term contract for 2 years

Application Deadline: 04.06.2025

Starting date: As soon as possible

Location: Berlin, Germany

About Us

Climate Analytics is a global climate science and policy institute established in 2008, providing science, analysis, and support to accelerate climate action and limit warming to 1.5°C. Our team of about 140 staff is based in Berlin and regional offices worldwide. Click here to find out more.