Vertisystem

Geospatial Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Geospatial Analyst with a contract length of "unknown," offering a pay rate of "$XX/hour." Required skills include ArcGIS Enterprise, SQL, and Excel, with 2+ years of geospatial analytics experience. A Bachelor's degree in Geography or Data Science is necessary.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
800
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πŸ—“οΈ - Date
October 21, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Forecasting #Data Science #SQL (Structured Query Language) #Spatial Data #Cloud #Visualization #R #Python #Datasets #Geospatial Analysis
Role description
Role Summary We are looking for a Spatial Data Scientist / Geospatial Analyst to design, build, and maintain geospatial tools and analytical models using ArcGIS Enterprise and other spatial data platforms. The role involves delivering actionable insights through geospatial analysis of infrastructure, energy, and land datasets to support business decision-making. Key Responsibilities β€’ Conduct advanced spatial analyses, including proximity modeling, network optimization, and raster processing. β€’ Develop predictive and statistical models to support site selection and spatial forecasting. β€’ Utilize ArcGIS Pro toolsets (Spatial, 3D, Network, Geostatistical Analysts) for data-driven insights. β€’ Create visualizations and maps to effectively communicate results to diverse audiences. β€’ Collaborate across teams to deliver geospatial reports and maintain standardized workflows. β€’ Manage recurring data processes and ensure accuracy in spatial reporting. Qualifications β€’ Bachelor’s degree in Geography, Data Science, or a related field. β€’ 2+ years of experience in geospatial analytics or data science. β€’ Strong proficiency in ArcGIS Enterprise, ArcGIS Pro, SQL, and Excel. β€’ Familiarity with Python or R for geospatial analysis. Preferred β€’ Master’s degree in a relevant field. β€’ Experience with remote sensing, LiDAR, or cloud-based analytics platforms. β€’ Background in infrastructure or energy-related geospatial projects.