INTELLIGENCE SPECIALIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: Oct 13, 2025 - The Intelligence Specialist possesses experience in data collection, analysis, and interpretation to support decision-making in strategic and operational contexts. This role requires strong analytical, research, and communication skills to identify patterns, assess threats, and provide actionable intelligence insights. In addition, the Specialist has proficiency in intelligence software tools, attention to detail, and the ability to work effectively under pressure in high-stakes environments.

Essential Hard and Soft Skills for a Standout Intelligence Specialist Resume
  • MASINT Analysis
  • Data Evaluation
  • Sensor Processing
  • Intelligence Synthesis
  • Statistical Modeling
  • Threat Assessment
  • Data Visualization
  • Technical Analysis
  • Market Intelligence
  • Process Optimization
  • Team Collaboration
  • Briefing Delivery
  • Analytical Judgment
  • Strategic Leadership
  • Interagency Coordination
  • Task Coordination
  • Stakeholder Engagement
  • Cross-Functional Collaboration
  • Strategic Briefing
  • Requirements Gathering

Summary of Intelligence Specialist Knowledge and Qualifications on Resume

1. BS in Cybersecurity with 5 years of Experience

  • Knowledge of basic imagery interpretation principles, techniques, and procedures for imagery exploitation
  • Completed Targeting Analyst Course.
  • Working knowledge of the use of geospatial data.
  • Experience preparing concise, action-oriented intelligence products (assessments, threat matrices, and executive summaries) for operational commanders.
  • Experience conducting post-mission analytic reviews and lessons-learned cycles to improve analytic tradecraft and collection plans.
  • Proficient in structured analytic techniques (e.g., ACH, key assumptions check, red-team analysis) to reduce bias.
  • Familiar with intelligence requirements development and prioritization processes aligned to decision-maker needs.
  • Understanding of sensor employment tradeoffs (coverage, persistence, cueing) and how they affect collection planning.
  • Knowledge of information-sharing protocols, classification handling, and dissemination best practices across partner organizations.
  • Strong analytical curiosity and hypothesis-driven thinking.
  • Rapid prioritization and decision-making under tight timelines and ambiguous conditions.
  • High ethical judgment and discretion.

2. BS in Data Analytics with 7 years of Experience

  • Advanced knowledge of relevant FINRA rules and the federal securities laws, and demonstrated investigative experience.
  • Deep knowledge of the securities markets and member firm operations, and its books and records.
  • Experience overseeing enterprise remediation programs, translating findings into corrective action plans, tracking implementation, and verifying effectiveness.
  • Ability to conduct defensible e-discovery and data-collection projects, preserving chain-of-custody for electronic evidence used in escalations.
  • Able to develop and deliver targeted compliance training and tabletop exercises to strengthen control, ownership, and escalation practices.
  • Familiarity with trade-surveillance technologies, data pipelines, and statistical techniques used for anomaly detection.
  • Knowledge of the regulatory exam lifecycle and examiner expectations, including documentation best practices and evidence packages.
  • Good written and verbal communication skills.
  • Ability to initiate and complete high-quality reviews and investigations, including the ability to work quickly on multiple time-sensitive matters.
  • Strong organizational skills with exceptional attention to detail.
  • Advanced proficiency in using computer programs with the full suite of Office software applications.
  • Effective at building and managing relationships.

3. BS in Computer Science with 9 years of Experience

  • Experience performing Geospatial Intelligence (GEOINT) production and collection to develop intelligence products.
  • Experience supporting capability development and acquisition initiatives.
  • Progressive experience in intelligence research, analysis, collection, or operations equivalent to the GG/GS-12 level.
  • Experience in intelligence analysis/production, collection/operations, counterintelligence, or threat support.
  • Knowledge of intelligence processes and organizations, research tools (imagery, statistics, graphics, maps), and methods for analyzing, reporting, and disseminating intelligence data.
  • Strong understanding of classification, handling, and legal/privacy constraints that govern intelligence data sharing and storage.
  • Familiarity with metadata standards and interoperability principles that enable reliable cross-system correlation and machine-assisted fusion.
  • Working knowledge of automation and AI-assisted analytic workflows (NLP, entity extraction, automated alerting) and their limitations in intelligence contexts.
  • Understanding of program metrics and evaluation for measuring analytic product impact, timeliness, and end-user utility.
  • Awareness of ethical frameworks for intelligence work, including bias mitigation and responsible use of sensitive data.
  • Systems-level strategic thinking that connects tactical observations to operational and policy implications.
  • Proven mentoring and instructional capability.
  • Strong interpersonal diplomacy and resilient and decisive under pressure.
Relevant Information
Intelligence Skills, Experiences, and Job Requirements
Intelligence Analyst Skills, Experience, and Job Requirements