Multi Disciplined Language Analyst Job Profile

What is a Multi-Disciplined Language Analyst?

Multi-Disciplined Language Analyst (AN-LNG-001): Applies language and culture expertise with target/threat and technical knowledge to process, analyze, and/or disseminate intelligence information derived from language, voice and/or graphic material. Creates and maintains language-specific databases and working aids to support cyber action execution and ensure critical knowledge sharing. Provides subject matter expertise in foreign language-intensive or interdisciplinary projects.

Multi-Disciplined Language Analyst must know:

  • laws, regulations, policies, and ethics as they relate to cybersecurity and privacy.
  • cybersecurity and privacy principles.
  • cyber threats and vulnerabilities.
  • specific operational impacts of cybersecurity lapses.
  • concepts, terminology, and operations of a wide range of communications media (computer and telephone networks, satellite, fiber, wireless).
  • front-end collection systems, including traffic collection, filtering, and selection.
  • cyber attack stages (e.g., reconnaissance, scanning, enumeration, gaining access, escalation of privileges, maintaining access, network exploitation, covering tracks).
  • analytic tools and techniques for language, voice and/or graphic material.
  • approved intelligence dissemination processes.
  • classification and control markings standards, policies and procedures.
  • collection systems, capabilities, and processes.
  • computer programming concepts, including computer languages, programming, testing, debugging, and file types.
  • concepts related to websites (e.g., web servers/pages, hosting, DNS, registration, web languages such as HTML).
  • customer information needs.
  • cyber operation objectives, policies, and legalities.
  • cyber operations.
  • data communications terminology (e.g., networking protocols, Ethernet, IP, encryption, optical devices, removable media).
  • evolving/emerging communications technologies.
  • how to extract, analyze, and use metadata.
  • intelligence reporting principles, policies, procedures, and vehicles, including report formats, reportability criteria (requirements and priorities), dissemination practices, and legal authorities and restrictions.
  • language processing tools and techniques.
  • network security (e.g., encryption, firewalls, authentication, honey pots, perimeter protection).
  • network security implementations (e.g., host-based IDS, IPS, access control lists), including their function and placement in a network.
  • networking and Internet communications fundamentals (i.e. devices, device configuration, hardware, software, applications, ports/protocols, addressing, network architecture and infrastructure, routing, operating systems, etc.).
  • obfuscation techniques (e.g., TOR/Onion/anonymizers, VPN/VPS, encryption).
  • operations security.
  • principles and practices related to target development such as target
  • knowledge, associations, communication systems, and infrastructure.
  • relevant laws, regulations, and policies.
  • specialized target language (e.g., acronyms, jargon, technical terminology, code words).
  • target communication profiles and their key elements (e.g., target associations, activities, communication infrastructure).
  • target communication tools and techniques.
  • target cultural references, dialects, expressions, idioms, and abbreviations.
  • target language(s).
  • target or threat cyber actors and procedures.
  • target, including related current events, communication profile, actors, and history (language, culture) and/or frame of reference.
  • the characteristics of targeted communication networks (e.g., capacity, functionality, paths, critical nodes).
  • the data flow from collection origin to repositories and tools.
  • the feedback cycle in collection processes.
  • the impact of language analysis on on-net operator functions.
  • the organization, roles and responsibilities of higher, lower and adjacent sub-elements.
  • the request for information process.
  • the structure, architecture, and design of modern digital and telephony networks.
  • the structure, architecture, and design of modern wireless communications systems.
  • transcript development processes and techniques (e.g., verbatim, gist, summaries).
  • translation processes and techniques.

Key skills of the Multi-Disciplined Language Analyst include:

  • analyzing language processing tools to provide feedback to enhance tool development.
  • analyzing traffic to identify network devices.
  • applying various analytical methods, tools, and techniques (e.g., competing hypotheses; chain of reasoning; scenario methods; denial and deception detection; high impact-low probability; network/association or link analysis; Bayesian, Delphi, and Pattern analyses).
  • assessing a target’s frame of reference (e.g., motivation, technical capability, organizational structure, sensitivities).
  • complying with the legal restrictions for targeted information.
  • conducting research using all available sources.
  • conducting social network analysis.
  • developing intelligence reports.
  • disseminating items of highest intelligence value in a timely manner.
  • evaluating and interpreting metadata.
  • evaluating data sources for relevance, reliability, and objectivity.
  • evaluating information for reliability, validity, and relevance.
  • gisting target communications.
  • identifying a target’s network characteristics.
  • identifying intelligence gaps and limitations.
  • identifying language issues that may have an impact on organization objectives.
  • identifying non-target regional languages and dialects
  • interpreting traceroute results, as they apply to network analysis and reconstruction.
  • managing client relationships, including determining client needs/requirements, managing client expectations, and demonstrating commitment to delivering quality results.
  • prioritizing target language material.
  • providing analysis on target-related matters (e.g., language, cultural, communications).
  • recognizing denial and deception techniques of the target.
  • recognizing significant changes in a target’s communication patterns.
  • recognizing technical information that may be used for target development including intelligence development.
  • synthesizing, analyzing, and prioritizing meaning across data sets.
  • transcribing target language communications.
  • translating target graphic and/or voice language materials.
  • using non-attributable networks.

Multi-Disciplined Language Analyst must be able to:

  • communicate complex information, concepts, or ideas in a confident and well-organized manner through verbal, written, and/or visual means.
  • apply language and cultural expertise to analysis.
  • function in a collaborative environment, seeking continuous consultation with other analysts and experts—both internal and external to the organization—to leverage analytical and technical expertise.
  • review processed target language materials for accuracy and completeness.

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