A GIS (Geographic Information Systems) Analyst collects, analyzes, and visualizes spatial data to solve real-world problems. Using software like ArcGIS and QGIS, they build maps, run spatial queries, and manage geospatial databases that support decisions in urban planning, utilities, environmental science, transportation, public health, and logistics. Their work often bridges technical data analysis with practical, on-the-ground applications, requiring both programming skills and domain knowledge of the sectors they serve.
| Entry level | $48,000 |
| Median | $68,000 |
| Senior | $95,000 |
| Top 10% | $120,000 |
| Job growth | +5% |
| Professionals in the USA | 0.3 million |
| Typical hours/week | 40 hrs |
| Remote work share | 35% |
| Annual job openings | 5,500/yr |
| Demand | Moderate |
AI and machine learning tools are increasingly automating routine spatial data processing, image classification, and basic map production tasks. However, GIS Analysts who interpret spatial patterns, integrate diverse datasets, and communicate insights for decision-making remain in demand as AI augments rather than replaces their analytical judgment.
Automation exposure: Automated feature extraction from satellite imagery, routine data cleaning and geocoding, basic map layout generation, and repetitive spatial queries are increasingly handled by AI-driven tools and scripts.
The human edge: Contextual understanding of local geography and community needs, stakeholder communication, complex problem framing, ethical judgment in data use, and creative integration of multiple data sources for novel insights.
Figures are estimates for exploration — verify current data with BLS.gov.