GEOINT Analyst / Analytic Methodologist - Mid - GEO-SPI B-013

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.