Marine Spatial Data Analyst
Skilyrði:JavaScriptPythonRemote
Knowledge, Skills, Abilities, Other Attributes and Outcomes Knowledge
- Bachelor’s in Marine Ecology, Environmental Science, Fisheries Science, Data Science,
Geography or a related field. A Master's degree or equivalent additional professional experience is an advantage.
- Experience in small-scale fisheries, marine conservation, marine spatial planning, and
community-based natural resource management.
- Experience integrating fisheries, ecological and spatial datasets for analysis and
visualisation.
- Experience working with marine ecosystems such as coral reefs, seagrass, or
mangroves.
- Knowledge of mapping approaches (e.g. habitat, fishing ground, management boundary
mapping).
- Knowledge of remote sensing or Earth observation datasets.
- Understanding of spatial and non-spatial relational databases and Structured Query
Language (SQL) such as: SQL Server, Oracle, Esri SDE, PostgreSQL, and PostGIS extension
- Knowledge of API development and integration, ensuring smooth data flow betweentools and systems
Skills - 4+ years of experience in mapping, spatial data analysis or marine spatial planning.
- Strong proficiency in R (required) and/or Python for data analysis, including experience
with reproducible workflows.
- Experience with spatial data and GIS tools (e.g. QGIS, PostGIS).
- Experience developing or supporting interactive tools (e.g. R Shiny, QGIS Lizmap).- Experience in the use of JavaScript for web development