STAG
Target Analyst Reporter
Hampton, VA
No sponsorshipDetected 19 days ago
TypeScriptTCP/IPDNSResearchCommunicationCollaborationCritical Thinking
About the role
- Strategic Technologies Analytics Group (STAG) is seeking a high-caliber Target Analyst Reporter (TAR) to join our growing Operations team.
- You will serve as the bridge between technical exploitation and executive-level intelligence.
- Job Description: In this role, you will analyze highly complex and diverse mission areas requiring innovative solutions using government-provided toolsets.
Responsibilities
- As a team member, you will be responsible for the team's final products, transforming complex metadata, signal intercepts, and digital footprints into formal, serialized reports that drive operational action.
Nice to have
- STAG provides multi-domain technology solutions coupled with the best professionals sourced from their respective fields of intelligence, cyber, electronic warfare, and special operations communities.
- Our team members serve at all levels of operations, from on-keyboard cyber warfare experts to national-level advisors on intelligence operations.
- Joint Cyber Analysis Course (JCAC) Network Fundamentals (CompTIA Sec+) Certified
Skills
- Strategic Technologies Analytics Group (STAG) is a premier global solutions provider for national security and defense communities.
- STAG is a premier solutions provider to the National Security and Defense communities around the world.
- STAG utilizes proven methodologies that produce high-quality innovative solutions addressing some of our Nation's most challenging problems.
Company info
- Your mission is to take complex signals and digital network data and transform them into clear, concise, and actionable serialized reports that drive national security decisions.
Visa & Work Authorization
- Target Analyst Reporter Location: Hampton, VA US Citizenship Required: Yes Clearance: TS / SCI with Poly Travel: Limited less than 10% of time
This listing is sourced directly from STAG's careers page and normalized into a canonical job model.