Posted:1 week ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

The Spatial Analyst will support conservation, landscape and water-related projects through spatial data management, GIS analysis and hydrological mapping. The role involves integrating geospatial datasets, performing terrain and hydrological analyses and generating high-quality spatial outputs to support research, planning and decision-making. 


Key Responsibilities:

  • Manage, process, and analyse geospatial datasets related to land use, conservation, terrain and hydrology. 
  • Perform hydrological GIS analyses including watershed and sub-watershed delineation, drainage network extraction, flow direction and flow accumulation analysis and terrain-based assessments using DEM. 
  • Conduct spatial analyses such as overlay, buffering, proximity analysis and zonal statistics to support project objectives. 
  • Integrate multi-source spatial datasets (DEM, land use/land cover, protected areas, hydrography and ancillary layers) within standardized GIS workflows. 
  • Prepare analytical maps, thematic layers and cartographic layouts for technical reports, proposals, and presentations. 
  • Ensure data quality, spatial accuracy and proper documentation while maintaining organized geospatial data repositories. 


Preferred Qualifications:

  • Master’s/ Bachelor’s degree in Geography, Environmental Science or a related discipline. 


Technical Skills:

  • Strong proficiency in ArcGIS and QGIS. 
  • Sound understanding of map projections, coordinate systems and spatial data models. 
  • Experience in spatial analysis, GIS data integration and cartographic visualization. 
  • Minimum of two (2) years of professional experience in GIS and related geospatial fields. 


Additional Skills:

  • Ability to work independently and manage multiple GIS tasks efficiently. 
  • Knowledge in programming language like. Python or R will be beneficial. 
  • Strong attention to detail and documentation practices. 
  • Good communication skills for coordination within multidisciplinary teams. 


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