Data Analyst to operationalize Biodiversity indicators
Role details
Job location
Tech stack
Job description
We are seeking a highly skilled and experienced Data Analyst Expert who will be responsible for managing remote sensing data and set up analysis ready data for subsequently artificial intelligence (AI) based analysis to support biodiversity applications. The successful candidate will work closely with a team of researchers and Engineersto develop a data cube for analyzing spatial and temporal data on biodiversity monitoring and trends. This position requires experience in multidimensional data management, processing, analysis and visualization. Previous experiences in remote sensing data management and analysis will be much appreciated, * Collaborate with an interdisciplinary team of researchers to design and implement biodiversity Data Cube for ecosystem monitoring
- Organize and manage large and complex remote sensing datasets
- Develop Xarray toolsthat will allow spatial and temporal analysis of biodiversity related variables
- Create query tools to inquiry data in visual/spatial (e.g. maps, graphs) or tabular form.
Requirements
- Master's or PhD in computer science, data science, remote sensing or related fields
- Proficiency in pythonExperiencewith OLAP software, knowledge of MDX syntax, experience with Xarray tools
- Experience with remote sensing data processing software (e.g. GDAL, RasterIO, etc) and specifications (e.g. STAC)
- Familiarity with biodiversity concepts and ecological research methods will be much appreciated but not mandatory
- Excellent analytical, problem-solving, and communication skills
- Ability to work independently and as part of a team.
If you are passionate about biodiversity research, you have experience in remote sensing data analysis and you have a strong background in multidimensional data management we encourage you to apply for this exciting opportunity.