Senior Principal Intelligence Analyst

General Dynamics Information Technology

Arlington (VA)

On-site

USD 110,000 - 150,000

Full time

36 hours ago
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Job summary

General Dynamics Information Technology in Crystal City, VA seeks a Senior Principal Intelligence Analyst to lead all-source analysis, collaborating with data scientists, engineers, developers, and analysts to improve analytic production.

You will interpret complex information from multiple sources, identify patterns, develop defensible assessments, and translate analytic questions into data requirements to guide tools and models.

Qualifications

  • All Source Analysis, Data Analytics, Knowledge Management, Standard Operating Procedure (SOP) Development, Workflow Automation are required.

Responsibilities

  • Conduct expert-level all-source analysis using structured analytic techniques, intelligence tradecraft, and multiple information sources to produce defensible assessments, insights, and recommendations.
  • Analyze complex datasets, reporting streams, operational information, and mission-relevant source material to identify patterns, trends, anomalies, relationships, risks, and intelligence gaps.
  • Collaborate with data scientists, data engineers, developers, and analysts to translate mission questions into data requirements, analytic workflows, technical use cases, and measurable outcomes.
  • Provide subject matter expertise to support the design, evaluation, and refinement of data models, analytic tools, AI-enabled workflows, and decision-support capabilities.
  • Review and assess outputs from data science models, AI tools,

Skills

All Source Analysis
Data Analytics
Knowledge Management
SOP Development
Workflow Automation

Job description

Job Qualifications:

All Source Analysis, Data Analytics, Knowledge Management, Standard Operating Procedure (SOP) Development, Workflow Automation

Job Description:

Regular

Clearance Level Must Currently Possess:

Top Secret/SCI

Clearance Level Must Be Able To Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Intelligence Operations and Analysis

Skills:
Job Qualifications:

All Source Analysis, Data Analytics, Knowledge Management, Standard Operating Procedure (SOP) Development, Workflow Automation

JOB DESCRIPTION:

Iron EagleX is seeking a Senior Principal Intelligence Analyst to support our analytics teams in Crystal City, VA. In this role, you will conduct advanced all-source analysis while working closely with multi-discipline analysts, data scientists, data engineers, and developers to improve the speed, depth, and quality of analytic production. You will apply expert analytic tradecraft to interpret complex information from multiple sources, identify patterns and gaps, develop defensible assessments, and help shape data-driven approaches to mission problems. You will help translate analytic questions into data requirements, evaluate the usefulness of data outputs, provide subject matter context for models and tools, and ensure that technical capabilities remain aligned to impactful analytics.

MEANINGFUL WORK AND PERSONAL IMPACT

As a Senior Principal Intelligence Analyst, you will help transform complex, multi-source information into clear, timely, and actionable assessments that support decision-making. Your work will directly influence how data, analytics, and AI-enabled tools are applied to real-world intelligence problems. By working closely with data scientists, engineers, developers, and analysts, you will help ensure that emerging technical capabilities are grounded in analytic tradecraft, operational relevance, and mission needs.

JOB DUTIES (INCLUDE BUT ARE NOT LIMITED TO)
  • Conduct expert-level all-source analysis using structured analytic techniques, intelligence tradecraft, and multiple information sources to produce defensible assessments, insights, and recommendations.
  • Analyze complex datasets, reporting streams, operational information, and mission-relevant source material to identify patterns, trends, anomalies, relationships, risks, and intelligence gaps.
  • Collaborate with data scientists, data engineers, developers, and analysts to translate mission questions into data requirements, analytic workflows, technical use cases, and measurable outcomes.
  • Provide subject matter expertise to support the design, evaluation, and refinement of data models, analytic tools, AI-enabled workflows, and decision-support capabilities.
  • Review and assess outputs from data science models, AI tools,
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