The Role: GIS Analyst

The GIS Analyst is responsible for collecting, analyzing, and visualizing geospatial data to support data-driven decision-making. This role involves using GIS technologies, spatial analytics, and AI‑enhanced tools to help organizations optimize workflows, understand geographic patterns, and solve location‑based challenges. Working closely with cross-functional teams, the GIS Analyst translates complex data into clear, actionable insights.

Key Responsibilities

Geospatial Data Management & Analysis

• Collect, clean, and manage geospatial datasets from multiple sources

• Perform spatial analysis, including proximity analysis, clustering, network analysis, and spatial modeling

• Create high-quality maps, dashboards, and data visualizations

GIS Tools & Application Development

• Use industry-standard tools (e.g., ArcGIS, QGIS, GeoPandas, PostGIS) for mapping and analysis

• Build and maintain geodatabases, layers, and map services

• Automate workflows using Python or other scripting tools

AI-Enhanced Spatial Analytics

• Apply AI-assisted tools to speed up map production, data classification, and pattern detection

• Support predictive modeling using geospatial and demographic datasets

Collaboration & Reporting

• Translate technical GIS findings into clear, actionable recommendations for stakeholders

• Produce reports, maps, dashboards, and presentations for both technical and non-technical audiences

• Work with operations, research, and administrative teams to support location-based decisions

Quality Assurance & Data Integrity

• Ensure accuracy and consistency of maps, geodatabases, and spatial outputs

• Follow data governance standards and maintain documentation for all GIS processes

Education and Experience

• Bachelor's degree in Geography, Geomatics, Environmental Science, Urban Planning, Data Science, or a related field

• 1+ years of experience in GIS analysis or spatial data management (or equivalent project-based experience)

Technical Skills

• Proficiency in ArcGIS, QGIS, or equivalent GIS platforms

• Strong skills in Python for spatial analysis (e.g., GeoPandas, Shapely, Rasterio)

• Experience building geodatabases and working with spatial SQL (PostGIS preferred)

• Familiarity with remote sensing, raster processing, and satellite imagery

• Ability to generate interactive dashboards (e.g., ArcGIS Online, Power BI)

Soft Skills

• Strong analytical and problem‑solving mindset

• Excellent communication skills for translating data into business insights

• High attention to detail and commitment to data accuracy

• Ability to work independently in a remote, fast-paced environment

Preferred Qualifications

• Experience integrating AI with GIS workflows

• Familiarity with cloud-based GIS platforms (ArcGIS Enterprise, Google Earth Engine)

• Knowledge of transportation planning, logistics, environmental analysis, or risk assessment