Geospatial Data Analyst (m/f/d) in our Digital Innovation Unit

bei GFA Consulting
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Geospatial Data Analyst (m/f/d) in our Digital Innovation Unit

Posted on: 15 Sep, 2022 Application by: 10 Oct, 2022 Project status: In-house
Duration of assignment: 2 year term contract with the option for permanent employment. Starting date is as soon as possible. Country: Germany Duty station: Hamburg/remote possible Job code: DIU-DEU22GFA0277/1

Project description

We are one of the leading German consulting companies working in international development cooperation.  At GFA Consulting Group, we strive to catalyse change to improve the quality of life of people around the world. We provide consulting services and implement projects financed through bilateral and multilateral funds. Our clients are GIZ, KfW, the European Commission and many others. Since 1982, we have been active in more than 130 countries and continuously expand the scope of our work, which currently includes ten technical business areas and corresponding departments.
The Digital Innovation Cluster supports GFA’s technical departments with the introduction and implementation of digital innovations in our consulting services. It includes a data team that specializes in data collection, management, analytics and visualization and develops data-driven solutions.

Job description

Join our team in our Digital Innovation Cluster as an open-minded geospatial data analyst (m/f/d) and contribute to our mission to provide improve living conditions worldwide.
What we offer:
We work at the heart of International Cooperation; finding solutions to global challenges through our projects and diverse team of employees from all over the world. In this context, we lay the foundation for you to grow with GFA.

We invite you to explore the potential of using satellite imagery, GIS-based data – and the intersection of machine learning and remote sensing - in applications across all areas of our work.
This job can be performed from anywhere. However, as close cooperation with several teams is at the core, regular visits to GFA’s head office in Hamburg will be necessary, in particular at the beginning.
Our flexible working time model, the possibility to work from anywhere, and our family-orientated company policy facilitate a healthy work-life balance.

In addition, the sense of purpose and community at GFA is very important to us. With GFA, you will join a close network of mission-driven development professionals spread across the world. We regularly organize social events for people to get to know each other and to provide opportunities for exchange.

Your responsibilities:

Jointly with colleagues from the digital innovation cluster and the data team, you are exploring additional potentials for using geospatial data in GFA’s existing work and future opportunities ahead. We intend to focus on open data and its combination with other private and public data from official statistics, surveys, digital devices, etc. We are also constantly developing the business case for the identified potentials further.

Consequently, your work may include:

  • Cooperating with colleagues from technical departments within GFA to generate new ideas for digital and data-driven solutions
  • Contributing actively to the further development of data-driven solutions in GFA
  • Networking with donor agencies, beneficiaries, partner institutions, subcontractors and experts
  • Acquiring new projects, including elaboration of technical and financial proposals in the field of geospatial data
  • Supporting the management of ongoing projects and studies that develop, pilot, implement or scale solutions based on geospatial data
  • Conducting consultancy missions
  • Elaborating reports, concepts and presentations and thereby contributing to knowledge management and representing GFA in conferences and seminars.


Your profile ideally has most of the following:

  • University degree (e.g. Master) in a relevant area, such as geography, geoinformatics, statistics, (spatial) data science, computer science or another degree with a quantitative focus
  • Advanced knowledge of geospatial data acquisition and processing, including the relevant tools such as Google earth engine, QGIS/ArcGIS, etc., preferably from different sub-sectors (e.g. land use change detection, climate or agriculture and urban development)
  • Experience in web-based applications for making analyses accessible to users is an advantage; in particular javascript-based web frameworks for business intelligence and geospatial analytics
  • Good knowledge of Python would be preferred
  • Experience with geospatial machine learning would be great
  • Experience with development tools, workflows and platforms (e.g. Git, Jira, docker, VMs etc)
  • Relevant experience in the context of development cooperation is an asset, preferably related to the assessment and interpretation of data in this context
  • Full proficiency in written and spoken English, working knowledge of German and/or of French is an asset
  • Affinity for working in an agile and fast-changing environment
  • Ability to manage complex situations under tight schedule.

Contact person

  Andrii Makrushyn

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