LCAT/Level: Exploitation Specialist, Middle

Position: GEOINT Analyst | Analytic Methodologist

Location: NGA Washington

Office Supported: ATS – Office of Science and Methodologies

Schedule: Shift 1

Candidates must possess the following:

• Current TOP SECRET clearance with active SCI access
• Bachelor of Science degree in a quantitative field of study with at least 4 years of experience with applied advanced GIS; OR combination of education and years of experience equivalent to a GEOINT Analyst with proficiency of applied advanced GIS at the senior skill level. 
• Working knowledge of traditional and non-traditional NTM sensors, ground processing, exploitation and dissemination (PED) capabilities, and possess the ability to translate this knowledge into tradecraft and training materials. 
• Experience developing subject matter expertise, and evaluating associated policy, standards, and practices to best communicate across relevant communities of interest. 
• Experience with public speaking to include briefing or delivering training materials.
• Experience with multi-tasking for day-to-day operations within a program management and professional environment.
• Ability to travel as part of a team up to 30% of the time to deliver training engagements CONUS and OCONUS.
• Experience with developing innovative approaches to GEOINT workflows.
• Experience working with COTS/GOTS tools such as Maven Smart Systems, Map of the World, iSpy, and ArcGIS Pro.

Candidates with the following qualifications in addition to the above will receive elevated consideration:

• Master of Science degree in a quantitative discipline such as geography, geographic information systems (GIS), geospatial analysis, remote sensing, geodesy, geophysics, earth science, cartography or a related field.
• Experience with research, evaluation, and documentation of unique and non-traditional NTM sensor capabilities.
• Experience with turning intelligence capabilities and workflows into learning objectives for training audiences.
• Experience providing feedback to assist with development of training materials.
• Operational experience with vector data.