CACI International

CACI International

Imagery Analyst

Fayetteville, NC, United States

No sponsorshipDetected 4394 days ago
TypeScriptCybersecurityGISCommunicationGxP

About the role

  • The company is based around six core values-Integrity, Ethics, Partnership, Trust, Quality, and Innovation-to provide excellence in serving the missions of our three key markets: Defense, Intelligence, and Civilian communities.
  • Provides real time intelligence using collection, interpretation and analysis from multiple sources.
  • This person will be integrated into intelligence operations at both permanent and mobile sites.

Responsibilities

  • Will be involved in the processing, exploitation and dissemination of imagery products using a variety of advanced geospatial techniques to develop complex solutions to requirements.

Requirements

  • Bachelor's degree with 6 years of GEOINT analytical experience
  • 4 years of technical experience.
  • In lieu of degree will accept at least 8 years of hands on experience.
  • Recent experience within the last 2 years using GEOINT tools such as SOCET GXP, ArcGIS and MAAS.
  • Must have operational and tactical experience in areas of targeting, intelligence systems and geospatial systems.
  • Full Motion Video (FMV) is required.
  • Desired is at least 8 years of targeting and collection management experience.

Company info

  • We invite you to put your talents to work by joining a growing team of dynamic professionals here at Six3!
  • Be part of a culture at our leading edge company where you can achieve great things while fostering a satisfying and rewarding career progression.
  • Six3 Systems, Inc. (Six3), headquartered in McLean, Virginia, was founded in 2009 to provide strategic and differentiated solutions and services to support the missions of customers.

Equal opportunity

  • Equal Opportunity Employer Minorities/Females/Disabilities/Veterans.

Visa & Work Authorization

  • Active TS/SCI security clearance

This listing is sourced directly from CACI International's careers page and normalized into a canonical job model.