Digital Network Exploitation Analyst (DNEA) *ALL LEVELS*

Link, LLC; Fort Meade (MD); On-site; USD 70,000 - 120,000; Full time

Job summary

A technology intelligence firm in Fort Meade seeks an analytical professional to evaluate target opportunities and analyze SIGINT and cybersecurity data. The ideal candidate holds a Bachelor's Degree in Computer Science and has 2 to 11 years of experience, depending on the level. You'll collaborate closely with government and military personnel to meet intelligence needs. This role involves developing new tradecraft to keep pace with evolving technologies and requires strong analytical skills.

Qualifications

• Experience evaluating target opportunities using various data sources.
• Understanding of logical/physical IP core infrastructure and communication devices.
• Proven ability to develop new tradecraft as technologies evolve.

Responsibilities

• Evaluate target opportunities using all source data.
• Analyze SIGINT and cybersecurity data on the OSI network stack.
• Collaborate with government and military personnel on intelligence needs.

Skills

Analytical skills

SIGINT data analysis

Cybersecurity expertise

Education

Bachelor's Degree in Computer Science or related field

Job description

Evaluate target opportunities using all source data to understand and map target networks, and to assist in developing detailed exploitation and operations plans.

Analyze SIGINT and cybersecurity data at multiple levels up and down the OSI network stack and bring a solid understanding of logical/physical IP core infrastructure, communication devices and how they connect to networks, and the traffic movements in a network.

Develop new tradecraft needed to perform this analysis as technologies evolve.

Work together with government, military, and contractor personnel to develop shared understandings of intelligence needs, mission relevance, and areas of expertise.

Apply your innate curiosity and analytical talent to form hypotheses, critically assess and choose analysis techniques, then query, merge, enrich, evaluate, and pivot within data to attain and share insights

Distill, document, contextualize and share your findings--including any new tradecraft that you develop--with teammates, stakeholders, and intelligence consumers.

LEVEL 1: Bachelors Degree + 2 years of experience

LEVEL 2: Bachelors Degree + 5 years of experience

LEVEL 3: Bachelors Degree + 8 years of experience

LEVEL 4: Bachelors Degree + 11 years of experience

Degree Type: 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).