**Sign-On Bonus Available for Qualified Candidates**
Leidos has an opening for an Intelligence Analyst to provide database and user support to the Office of Naval intelligence. The successful candidate will have excellent written and oral communication skills to collaborate with government and contractor personnel. All work is onsite in Suitland. MD. An active TS/SCI clearance is required.
Provide Intelligence Information Report (IIR) evaluations using Human Intelligence (HUMINT) Online Tasking and Reporting (HOT-R) system or other Department of Defense systems as designated by the government. Provide AMIDSHIP database support for the identification, quality control, and databasing of photography on merchant ships equal to or greater than 500 GRT and those designated as High Interest Vessels. Resolve current and historical characteristics data issues in MSCDB for all merchant vessels, as well as monitor, evaluate, update, and provide feedback on source data. Analyze imagery and input data into AMIDSHIPS and MSCDB. The contractor shall also participate in briefings to Defense Attaches, Assistant Liaison US Naval Attaches and other visitors supporting civil maritime requirements.
Active TS/SCI clearance
4 years of relevant work experience OR 2 years of relevant experience with Associate and/or Bachelor degree
2 years working experience in the Intelligence Community
2 years' experience performing all source analysis. A focus on Civil Maritime shipping, ship building, ship characteristics, ship operations, or the maritime industry is preferred.
Proficiency with Microsoft Office products
Ability to conduct open source research; proficient research and analysis skills
Ability to author operational intelligence reports and executive level intelligence assessments
Ability to brief mid- to senior-level government civilian and military officials
Ability to train Navy reservists performing HUMINT Online Tasking and Reporting (HOT-R) work from the same facility
Ability to train branch personnel to perform HOT-R task with regards to processing IIRs