EarthLungs Reforestation Foundation is seeking a Forest Data Analyst in Zanzibar to analyse forest, environmental, GIS, remote sensing, biodiversity and land-use data in support of its reforestation and conservation programmes.
Responsibilities
- Collect, clean and analyse forest inventory, environmental monitoring and biodiversity data using Python, R or SQL
- Perform GIS and spatial analysis using QGIS or ArcGIS to map and monitor reforestation sites and land use
- Analyse satellite imagery using remote sensing platforms such as Google Earth Engine to track forest cover change
- Support biomass estimation and forest carbon-stock assessment
- Prepare data reports, maps and visualisations to inform project planning and decision-making
Requirements
- Bachelor's degree in Forestry, Environmental Science, Geography, Data Science, Remote Sensing, Natural Resource Management or a related field
- 2-3 years of professional experience in data analysis, forestry, environmental monitoring, GIS or remote sensing
- Proficiency in statistical and data tools such as Python, R or SQL
- Practical experience with GIS software, especially QGIS or ArcGIS
- Experience with remote sensing platforms such as Google Earth Engine and satellite imagery analysis
- Knowledge of forest ecology, forest inventory, biodiversity conservation and/or land-use science
- Strong analytical, quantitative and problem-solving skills
- Familiarity with machine learning, spatial modelling, biomass estimation or forest carbon-stock assessment is desirable
- Data analysis and statistical analysis using Python, R or SQL
- GIS analysis using QGIS or ArcGIS
- Remote sensing and satellite imagery analysis using platforms such as Google Earth Engine
- Knowledge of forest ecology, forest inventory, biodiversity conservation and land-use science
