Geospatial Analyst - Springfield, VA with Security Clearance
4 days left
- Employer
- Gateway Geospatial Group
- Location
- Springfield, Virginia
- Salary
- Commensurate
- Posted
- Mar 04, 2025
- Closes
- Mar 20, 2025
- Ref
- 2907247357
- Focus Area
- Temporal / Spatial Statistics
- Role Function
- Data Analytics
- Career Level
- Intermediate
- Work Mode
- On Site
- Employment Type
- Full-Time
- Education
- Bachelor's Degree
- Organization Type
- Government & Defense, Technology & Software
Responsibilities Join G3 in facilitating the modernization of geospatial analytic tradecraft and supporting analytic workflows for the National Geospatial-Intelligence Agency's Analysis Directorate. Act as a technical liaison between office-level leaders, individual analysts, and customers to promote and implement changes. Responsibilities: • Detect, analyze, and document intelligence observations.
• Develop tradecraft policies, standard operating procedures (SOPs), and training materials.
• Lead and manage a Community of Practice to promote collaboration and innovation.
• Facilitate training and collaboration sessions with a focus on improving analytic workflows.
• Customize workflows to meet unique customer needs and enhance analytic processes.
• Coordinate with NGA infrastructure technical personnel and program offices to integrate new methodologies and tools.
• Serve as a technical subject matter expert on geospatial data analysis and make recommendations to optimize data access and visibility.
• Implement and manage cloud-based storage systems in classified/unclassified environments.
• Perform data cleaning and preprocessing tasks using Python scripting.
• Handle spatial data file formats (TIF, GeoJSON, CSV, Raster) and data type conversions.
• Leverage data analytics software platforms to improve analytic workflows. Qualifications: • College degree (B.S.) in Geography, Geospatial Sciences, or other STEM discipline.
• Active TS/SCI Clearance with CI Polygraph.
• 6+ Years Experience in geospatial analysis or a related field. Desired Qualifications: • Experience in developing and implementing tradecraft policies and SOPs.
• Background in instruction, facilitation, and project planning.
• Understanding of cloud architecture to implement cloud-based storage systems in classified/unclassified environments.
• Knowledge of the Python language for data cleaning and preprocessing.
• Experience with spatial data file formats and data type conversions (e.g., TIF, GeoJSON, CSV, Raster).
• Understanding of geospatial analysis software and practices.
• Experience and/or interest in leading a Community of Practice to promote collaboration and innovation.
• Experience with activity-based intelligence (ABI) and/or structured observation management (SOM).
• Develop tradecraft policies, standard operating procedures (SOPs), and training materials.
• Lead and manage a Community of Practice to promote collaboration and innovation.
• Facilitate training and collaboration sessions with a focus on improving analytic workflows.
• Customize workflows to meet unique customer needs and enhance analytic processes.
• Coordinate with NGA infrastructure technical personnel and program offices to integrate new methodologies and tools.
• Serve as a technical subject matter expert on geospatial data analysis and make recommendations to optimize data access and visibility.
• Implement and manage cloud-based storage systems in classified/unclassified environments.
• Perform data cleaning and preprocessing tasks using Python scripting.
• Handle spatial data file formats (TIF, GeoJSON, CSV, Raster) and data type conversions.
• Leverage data analytics software platforms to improve analytic workflows. Qualifications: • College degree (B.S.) in Geography, Geospatial Sciences, or other STEM discipline.
• Active TS/SCI Clearance with CI Polygraph.
• 6+ Years Experience in geospatial analysis or a related field. Desired Qualifications: • Experience in developing and implementing tradecraft policies and SOPs.
• Background in instruction, facilitation, and project planning.
• Understanding of cloud architecture to implement cloud-based storage systems in classified/unclassified environments.
• Knowledge of the Python language for data cleaning and preprocessing.
• Experience with spatial data file formats and data type conversions (e.g., TIF, GeoJSON, CSV, Raster).
• Understanding of geospatial analysis software and practices.
• Experience and/or interest in leading a Community of Practice to promote collaboration and innovation.
• Experience with activity-based intelligence (ABI) and/or structured observation management (SOM).