German university students: Student Assistant (m/f/d) Risk Analysis (Water Risk Filter)

World Wide Fund for Nature (WWF)

Berlin, , DE

The World Wide Fund for Nature (WWF) is one of the best-known nature conservation organizations in the world. With projects in over a hundred countries, we pursue the goal of preserving the biological diversity of our planet – right where it counts.

WWF Germany is an independent part of this global network. Through our own initiatives and qualified lobbying in public relations, business and politics, we translate WWF’s goals into action in Germany. We succeed in doing so primarily thanks to motivated and qualified employees: people who know their stuff; people who pitch in and give a hand; people who consider nature and species conservation to be not only a job – but as a conviction that together we can create a future worth living. And our employees are enthusiastically involved.

Globally, water resources and biodiversity are increasingly under pressure. WWF engages with private sector actors to raise awareness on water and biodiversity risks and help companies on their stewardship journey. In particular, WWF Water Risk Filter is a flagship tool used for engaging with private sector actors.

Do you identify with the goals of the WWF? Do you share our conviction? To strengthen the Water Risk Filter and Biodiversity Teams within WWF Germany’s Department Biological Diversity (subject area Ecosystems & Resources Protection, based in Berlin) we are looking for a motivated student enrolled in a German university for the following part-time employment with 20 hours per week and fixed-term position from 1 June 2021 until 31 May 2023:

Student Assistant (m/f/d) Risk Analysis

Your responsibilities:
  • support the Water and Biodiversity Risk Filter Team with data analysis and deliverables, as well as corporate partnership management, organization and communication, related to corporate partnerships of WWF Germany and the WWF Network
  • support the Water and Biodiversity Risk Filter Technical Leads with general Water and Biodiversity Risk Filter tool development and maintenance
  • provide technical support to day-to-day user requests
  • support raising awareness for the Water and Biodiversity Risk Filter externally with the development of communication materials (e.g. case studies, blogs, reports, publications)
Your requirements:
  • an ongoing study at a German university in one of the following areas: Spatial Data Science, GIS, Geomatics, Environmental Informatics, Environmental Sciences, or related fields
  • knowledge of Spatial Data Science applied to environmental issues, including scripting languages, e.g. R, Python, and JavaScript as well as ArcGIS Online, or strong interest to learn more
  • desirable experience with remote sensing and climate change data, or strong interest to learn more
  • excellent written and verbal communication skills
  • ability to work independently with high-quality results to be delivered on time
  • self-motivated, pro-active, organized, detail-oriented and delivery focused
  • business fluent in English. Desirable: fluent in German
We offer:
  • a meaningful task for our planet
  • great colleagues and the greatest possible scope for creativity
  • flat hierarchies and short distances, centrally located in the heart of Berlin-Mitte (near train station Friedrichstraße)
  • flexible working hours, home office and 30 days holiday entitlement (up to 3 weeks in a row)
  • play at the very front or simply be part of the WWF choir, band, football or volleyball team
  • celebrate success or enjoy breaks with coffee and colleagues over the roofs of Berlin
In that case, we are looking forward to getting to know you. Kindly forward to us your application stating your salary expectations and your availability – directly online through our application form, or by email. If you have any questions, Eveline Werner would be glad to help you.
Last but not least:
As an international organization, we support a working environment of diversity based on justice and mutual respect. We therefore welcome every application – regardless of ethnic, social and national origin, gender, religion, age, disability, sexual orientation, marital status and political views.