GEOINT / Imagery Analyst

Metronome, LLC
United States, D.C., Washington
Apr 27, 2026
GEOINT / Imagery Analyst Washington D.C. / St. Louis full time TS/SCI $75,000 - $90,000 Job Description Job Title: GEOINT Analyst / Imagery Analyst (Mid-Level) Location: NGA Washington, DC OR St. Louis, MO (Onsite) Clearance: Active TS/SCI (Required) Employment Type: Full-Time Overview This position supports NGA mission operations within the Office of Eurasia (AOE), focused on GEOINT production and imagery analysis. The team requires analysts with direct experience working within NGA systems and familiarity with the Area of Responsibility (AOR). Ideal candidates will have recent NGA experience and a strong foundation in imagery-based geospatial analysis. Key Responsibilities Imagery & GEOINT Analysis Perform detailed imagery analysis to support GEOINT production efforts Conduct spatiotemporal analysis using imagery combined with multi-INT datasets Support GEOINT collection tasking and optimization Geospatial Analysis & GIS Tools Utilize tools such as ArcGIS Pro and ArcGIS Online for analysis and visualization Integrate and analyze disparate datasets to produce actionable intelligence Reporting & Production Develop intelligence reports and supporting graphics for mission stakeholders Translate analytic findings into clear, concise, and mission-relevant outputs Mission Support Operate within NGA systems and workflows to support operational requirements Apply regional knowledge of the Eurasia AOR to enhance analytic outputs Required Skills Bachelor's degree in a quantitative field OR equivalent experience aligned to a mid-level GEOINT Analyst Completion of an Imagery Analysis Course Minimum 2+ years of experience conducting imagery analysis Demonstrated experience with spatiotemporal, multi-INT geospatial analysis Proficiency with ArcGIS Pro or ArcGIS Online tool suite Experience tasking GEOINT collection Experience writing intelligence reports and producing supporting graphics Active TS/SCI clearance Important Notes Recent NGA experience is strongly preferred and often critical for success in this role Candidates must have familiarity with NGA systems and workflows FMV-heavy backgrounds without traditional imagery analysis experience will not be considered