Geospatial Research and Analysis Expert

We’re seeking experienced geospatial practitioners and academics interested in contributing their expertise as independent contractors. In this remote opportunity, you’ll explore complex geospatial questions and explain how you would approach them, including the reasoning, assumptions, data sources, and technical methods involved.

What You’ll Contribute

For each query, you will:

1. Identify ambiguities
   Determine which terms, concepts, or requested outcomes are unclear, subjective, or missing essential parameters for rigorous geospatial analysis.
2. Propose clarifications
   Recommend reasonable assumptions and specific parameters that transform the query into a clearly defined, solvable geospatial problem.
3. Develop a detailed geospatial workflow
   Describe the step-by-step analytical process, including relevant datasets, tools, methodologies, calculations, validation methods, and decision points.
4. Define expected deliverables
   Recommend the most appropriate final outputs to help the user interpret the results, such as maps, spatial datasets, dashboards, reports, visualizations, or analytical summaries.

Expert Qualifications

Ideal experts will have:

• A master’s degree or PhD in geography, geographic information science, geospatial science, remote sensing, environmental science, or another related scientific discipline
• Advanced expertise in geospatial analysis, demonstrated through professional practice, academic research, or a combination of both
• Experience as a GIS Analyst, Geospatial Engineer, GIS Data Analyst, or in a comparable field
• Strong familiarity with geospatial tools, platforms, and frameworks
• The ability to translate complex geospatial reasoning into clear, structured, step-by-step explanations

Relevant Areas of Expertise

Experience in one or more of the following areas is especially valuable:

• Crisis response or crisis management, including damage assessment
• Agriculture or environmental monitoring
• Site selection and location analysis
• Market expansion
• Supply chain analysis
• Spatial forecasting or predictive modeling
• Other applied uses of geospatial data and analysis