Digital Network Exploitation Analyst evaluates target opportunities and strategizes activities against particular networks using all source data to understand and map target networks and assist in developing detailed exploitation and operations plans. The Network Exploitation Analyst has a a solid understanding of logical/physical IP core infrastructure, communication devices and how they connect to networks, and the traffic movements in a network; has a working knowledge of the principles and methods used to identify, collect, analyze process and disseminate information in accordance with established requirements and priorities; possesses an understanding of and experience in the SIGINT disciplines of collection, target development, and tasking; actively analyzes and manages projects, capabilities, policies and procedures; analyzes collection-related information to guide tasking, identify problems, and assist with collection management; and recognizes essential elements of information to enable endpoint opportunities.
Relevant experience must be in computer or information systems design/development/analysis. In addition, it may also include engineering hardware and/or software, programming, computer/network security, vulnerability analysis, penetration testing, computer forensics, information assurance, systems engineering, and/or network and systems administration. Completion of military training in a relevant area such as JCAC (Joint Cyber Analysis Course) will be considered towards the relevant experience requirement (i.e., 24-week JCAC course will count as 6 months of experience).
Information Technology (IT) and Information Security (IS) degrees may be considered relevant if the programs contain the amount and type of coursework equivalent to a Computer Science (CS) major.
Degree in Computer Science or related fields (Engineering, Mathematics) may be considered relevant if programs contain a concentration of courses in the following foundational CS areas: algorithms, computer architecture (not network architecture), programming methodologies and languages, data structures, logic and computation, and advanced mathematics (for example, calculus, discrete mathematics).