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GIS Analyst, Forests Program

World Resources Institute

Washington,  District of Columbia
GIS Analyst


In this role, you will join the GFW research team, under WRI’s Food, Forests, Water and Ocean Program. As part of the GFW research team, the you will prepare spatial data and provide technical support for the GFW platform and other GFW web applications. You will assist in the delivery of GIS-related research outputs, as well as handle incoming analysis requests from media partners and other research organizations. Being an independent problem solver with excellent attention to detail is a must. The projects you will support vary but will initially include analysis to support the Forest team’s living report, the Global Forest Review, as well as analyses related to mapping drivers of deforestation and synthesizing data related to carbon fluxes in forest and non-forest ecosystems. Your role will expand to other projects based on available opportunities and the analyst’s skills and interests.

This position is remote due to Covid-19, but you will be based at WRI’s office in Washington, DC once restrictions have lifted.

Job Responsibilities

Research and Analysis (50% of time required):

  • Analyze spatial data, including deriving spatial statistics and time series trends, using geoprocessing tools
  • Collaborate with others on GFW and other WRI research teams to develop and implement workflows and new analysis methods to answer research questions related to deforestation, forest management, carbon fluxes, land use, restoration, and environmental degradation
  • Collaborate with external partners to assess potential research opportunities involving GFW and non-GFW data Provide guidance and leadership to other GIS staff with respect to technical analysis
  • Provide feedback on the development of geospatial web tools for GFW based on user research/outreach
  • Collect training points in support of artificial intelligence model development related to mapping drivers of forest loss
  • Collaborate with others on the GFW team to update the Global Forest Review and incorporate the latest research findings

Data Management and GIS Technical Support (40% of time required):

  • Process, format, and manage GIS datasets for input into GFW platform and associated web tools Conduct necessary geospatial analyses for QA/QC of the GFW platform, API, and associated web tools based on collaboration with the GFW engineering team
  • Provide data analysis for incoming requests and other unique analyses not offered on GFW platform/API Identify new datasets relevant to GFW, in the context of identified thematic and geographic research priorities
  • Write scripts to automate GIS tasks that are performed on a regular basis

Outreach and Communication (10% of time required):

  • Become an expert in GFW’s geospatial data and associated platforms Communicate with internal and external partners on status of collaborative projects
  • Field and appropriately respond to GIS technical inquiries from GFW users and the media (usually through email or video calls)
  • Write technical publications to document geospatial analysis methods
  • Prepare online and/or printed maps for GFW partners and communications materials
  • Represent GFW at relevant conferences/meetings and give webinars/presentations when requested
  • Communicate about GFW data and analytical content to non-technical audiences

Job Qualifications

Required Qualifications:  

  • Bachelor's degree in GIS, Environmental Science, Geography, Forest Ecology, or another related field
  • Minimum of 2 years of relevant full-time work experience
  • Expertise in GIS software, including ArcGIS Desktop 10.x, ArcGIS Pro, and/or QGIS Expertise in Google Earth Engine Programming experience using Python, R, SQL, and/or other analysis tools
  • Experience independently designing GIS methodologies to answer spatial questions
  • Experience working with and analyzing large tabular datasets
  • Experience with both raster and vector-based GIS analysis, including running spatial statistics on large and complex datasets
  • Strong communication skills, including presentation experience, and working within teams
  • Willingness to take initiative and ability to work independently and manage own time
  • Ability to work on a variety of projects while meeting tight deadlines
  • Obsessive attention to detail
  • Creative problem-solver who likes to be challenged
  • US work authorization required. WRI is unable to sponsor work authorization

Preferred Qualifications:

  • Experience with cloud computing, including Amazon Web Services and Google Cloud Platform
  • Knowledge of current state of forests and political climates in forested countries
  • Experience with using geostatistics and/or artificial intelligence and machine learning algorithms
  • Experience working with diverse audiences, including international staff and non-native English speakers

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