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C-UAS Signals Analyst
Company | CACI |
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Location | Reston, VA, USA |
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Salary | $94400 – $198200 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Mid Level, Senior |
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Requirements
- Current Top Secret/Specialized Compartmented Information (SCI) Security Clearance.
- More than one year of C-UAS Operations-Intelligence analytic experience (tactical and/or operational levels) with DoD, US and/or interagency partners in the past five years (Department of Defense, Department of Homeland Security or Federal law enforcement agencies preferred but not required).
- More than three years of operations-intelligence and/or security or Force Protection related analytic experience.
- Practical understanding of unmanned aerial systems with specific emphasis on Groups 1-3 Small Unmanned Aerial Systems (sUAS), their capabilities, technical performance, and operational employment.
- Practical understanding of MS Office, Excel, SQL, and PowerBI or other big-data analytic techniques for structured and unstructured data.
- Practical understanding with coding languages such as Python, R, and SQL.
- Practical understanding of geospatial Intel tools such as ArcGIS and Google Earth.
- If needed, willing to work rotating shifts – that may include nights and weekends.
- Bachelor’s degree and more than three years of experience, or an associate degree and five years of experience, or seven years of relevant work experience. We will also consider candidates with four years of directly relevant experience.
Responsibilities
- You will work as part of a multifunctional team of operations analysts, operational outreach, technologists, and subject matter experts to assist DoD customers with fusing C-UAS systems’ data and operational information to enhance their effectiveness against UAS threats and force protection efforts.
- You will identify and analyze problems, and generate recommended solutions based upon experience working with elements of the DoD.
- You will directly support DoD organizations and agencies tasked with the mission of UAS threat and security assessment with special emphasis on understanding and countering the growing threat posed by unmanned aerial systems (UAS).
- You will collect, collate, assemble, fuse, analyze and deliver tailored answers to requests for support.
- You will be expected to become a Subject Matter Expert (SME) on the capabilities, tactical employment and distribution of UAS that adversaries could use to disrupt, disable or defeat capabilities to defend critical infrastructure.
- You will work closely with other members of your team to identify capabilities and vulnerabilities of UAS systems that could attack critical infrastructure; identify trends, patterns, and highlight vulnerabilities that could be exploited to defeat them.
Preferred Qualifications
- More than three years of experience conducting operations-intelligence network analysis in support of C-UAS, HVI, attack the network or CT operations – including counter-facilitation.
- More than three years of experience providing counter-threat operations-intelligence support and/or asymmetric threat analysis.
- More than three years working on a Force Protection staff or as a Force Protection planner.
- More than ten years of military experience, and/or a combination of military and IC Agency experience, including recent combat deployments, and be well-versed in all areas of military intelligence, C-UAS, security and/or force protection.
- Expert understanding of unmanned aerial systems with specific emphasis on Groups 1-3 Small Unmanned Aerial Systems (sUAS), their capabilities, technical performance, and operational employment.
- Expert understanding of MS Office, Excel, SQL, PowerBI or other data visualization tools and big-data analytic techniques for structured and unstructured data.
- Expert understanding of network analysis tools such as Analyst Notebook and Palantir.
- Expert understanding of Intel-related databases such as M3, TAC, NCTC Online, TIDE, ICReach SIGINT database, Cultweave SIGINT database, PROTON SIGINT Database.
- Expert understanding of geospatial Intel tools such as ArcGIS and Google Earth.