Entry-Level Geospatial Analyst

Vantor is seeking an entry-level Geospatial Analyst for an on-site position. As an industry-leading provider of Earth observation satellite imagery, Vantor helps governments and businesses solve problems on Earth and beyond. The analyst will perform foundational GIS tasks using ArcGIS. Experience with programming languages such as Python, SQL, and HTML is preferred but not required. ## Responsibilities - Create and edit geospatial layers derived from internal and external sources. - Perform common GIS tasks to build new layers and update existing ones. - Apply foundational knowledge of topology and data attribution. - Collect, enrich, and aggregate open-source data to create geospatial datasets. - Work with vector and raster data. - Help ensure datasets are accurate and spatially represented in a manner consistent with applicable Open Geospatial Consortium (OGC) standards. - Use coding environments to support geospatial tasks. - Collaborate as an integrated member of an analytic team with colleagues from multiple disciplines. ## Required Qualifications - U.S. citizenship. - Knowledge of Geographic Information Systems (GIS), including geoprocessing, data management, and data attribution. - Experience with ArcGIS or ArcGIS Pro, including relevant extensions, for data analysis and map production. - Experience aggregating and manipulating spatial data, including vector and raster formats. - Ability and willingness to learn new skills in support of team objectives and professional development. ## Preferred Qualifications - Bachelor's degree in any field; current students and candidates with equivalent experience will also be considered. - Degree or certification in a geospatial discipline. - Experience processing and analyzing remote sensing data. - Strong imagery analysis experience, including SAR and electro-optical (EO) imagery. - Familiarity with Python, SQL, and HTML. - Familiarity with other GIS tools, such as NV5 and SOCET. - Strong organizational skills and the ability to manage multiple tasks efficiently.