Req ID: 0161
GEOINT Analyst / Analytic Methodologist - Mid (5+ yrs experience), Springfield, VA)
LCAT/Level: Exploitation Specialist, Middle
Position: GEOINT Analyst | Analytic Methodologist
Location: NGA Washington
Office Supported: ATS – Office of Science and Methodologies
Schedule: Shift 1 (days)
Candidates must possess the following:
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Current TOP SECRET clearance with active SCI access
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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.
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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.
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Experience developing subject matter expertise, and evaluating associated policy, standards, and practices to best communicate across relevant communities of interest.
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Experience with public speaking to include briefing or delivering training materials.
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Experience with multi-tasking for day-to-day operations within a program management and professional environment.
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Ability to travel as part of a team up to 30% of the time to deliver training engagements CONUS and OCONUS.
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Experience with developing innovative approaches to GEOINT workflows.
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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:
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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.
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Experience with research, evaluation, and documentation of unique and non-traditional NTM sensor capabilities.
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Experience with turning intelligence capabilities and workflows into learning objectives for training audiences.
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Experience providing feedback to assist with development of training materials.
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Operational experience with vector data.
