GIS Analyst for Military Mobility Modeling

CACI International•Charlottesville, VA

7d•$98,500 - $206,800

About The Position

CACI is seeking a GIS Analyst with ArcGIS Pro Python Toolbox development experience. The analyst will use the ESRI platform to develop, execute, and manage production processes in coordination with project and program leadership. The role supports foreign ground force mobility operations through exploratory data analysis, including data mining, aggregation, and visualization, as well as research into weapon system characterizations and operational capabilities. The analyst will develop and integrate ETL pipelines for geospatial and non-geospatial data into an interactive map application using ArcGIS Online Portal. The work also involves making data available in industry-standard formats and structures so it can be readily ingested by current applications addressing ongoing and emerging operational intelligence questions. Using primarily ArcGIS Pro, the analyst will visualize and predict mobility thresholds for ground-based military systems and platforms under varying environmental conditions, using raster and vector datasets such as topography, weather, and road networks. The role also involves research design, data analysis and modeling, technical assessment and writing, and developing process flows, visualizations, and technology development roadmaps.

Requirements

Bachelor of Arts or Bachelor of Science degree in a related scientific field, such as Geographic Information Systems, Geography, Data Analysis, or Computer Science.
Proficiency with ArcGIS Pro toolkits, including Spatial Analyst, Spatial Statistics, and Network Analyst.
Ability to convert ArcGIS Desktop toolkits written in Python 2.x into ArcGIS Pro Python toolboxes written in Python 3.x.
At least 5 years of experience as a GIS Engineer/Analyst or in a closely related field.
Active, in-scope DoD TS/SCI security clearance.
Willingness to obtain a polygraph.
Ability to conduct analysis and produce comprehensive technical assessments, including independent research and technical writing.
Ability to work independently with minimal oversight while maintaining focus on client-defined research objectives.

Nice To Haves

MOS 12Y Geospatial Engineer.
Previous work within the intelligence community.

Responsibilities

Develop GIS models using a wide range of data science tools and data sources.
Use ArcGIS Pro to visualize and predict mobility thresholds of ground-based military systems and platforms under varied environmental conditions using raster and vector datasets, including topographic, weather, and road-network data.
Develop research designs, including formulating testable questions, defining key concepts and variables, and selecting methods appropriate to the problems.
Analyze and model data by manipulating datasets and interpreting findings using programs and environments such as R, Python, ArcPy, MATLAB, and Excel.
Apply analytical techniques such as text and pattern analysis, supervised and unsupervised clustering, classification, change and anomaly detection, time-series analysis, regression, geospatial analysis, and social network analysis.
Develop process flows, visualizations, and technological development roadmaps.
Develop, execute, and manage production processes using the ESRI platform in coordination with project and program leadership.
Support exploratory data analysis, including data mining, aggregation, and visualization, for foreign ground force mobility operations.
Research weapon system characterizations and operational capabilities.
Develop and integrate ETL pipelines for geospatial and non-geospatial data into an interactive map application using ArcGIS Online Portal.
Ensure data is available in industry-standard formats and structures for ingestion into applications supporting operational intelligence questions.
Conduct analysis and produce comprehensive technical assessments incorporating independent research and technical writing.
Work independently with minimal oversight while maintaining focus on client-defined research objectives.