Job description

Required Qualifications: • Minimum of a Bachelor's degree in Intelligence Studies, International Relations, Political Science, Data Analytics, Information Systems, National Security Studies, or a related field • 5+ years of relevant experience in all-source analysis, intelligence analysis, research analysis, operational analysis, or related analytical roles • Demonstrated experience producing structured analytical products from diverse data sources, including open source, structured databases, and unstructured text • Strong critical thinking, analytical reasoning, and problem-solving skills with the ability to assess source reliability and information credibility • Experience working with analytical tools, platforms, or technologies that support data retrieval, visualization, structured analysis, or report generation • Strong written and verbal communication skills, including the ability to produce clear, concise, and well-organized analytical products and briefings • Comfort operating in fast-paced, evolving environments where tools and workflows are actively being developed and refined • Ability to work cross-functionally with technical teams, providing clear feedback on platform capabilities and analytical needs • US Citizenship with the ability to obtain and maintain public trust suitability Desired Qualifications: • Prior experience in intelligence community, defense, law enforcement, homeland security, or other mission-driven analytical environments • Hands-on experience with AI-enabled analytical tools, large language models, agentic AI platforms, or AI-assisted research and analysis workflows • Experience with prompt engineering, workflow configuration, or natural language interaction with AI systems in an analytical context • Familiarity with structured analytical techniques (SATs), intelligence community analytical standards, or equivalent analytical frameworks • Experience with data visualization, geospatial analysis, link analysis, or other specialized analytical methodologies • Background in evaluating or adopting new analytical technologies, including participation in pilot programs, technology transitions, or capability assessments • Experience developing analytical SOPs, tradecraft guides, training materials, or best practice documentation • Familiarity with knowledge management, data curation, or information organization in support of analytical workflows • Experience in environments where analytical rigor, source protection, and quality assurance are critical operational requirements Peraton Labs is seeking an Data Analyst to serve as a power user and mission-facing operator of a customer deployed Generative AI Platform. This role sits at the intersection of analytical tradecraft, operational workflow execution, and hands-on use of AI-enabled tools to produce timely, high-quality analytical products and mission insights. This individual will leverage the full breadth of the Generative AI Platform capabilities — including agentic workflows, natural language interfaces, data retrieval, structured analysis, and automated reporting — to address real-world analytical questions, support decision-makers, and help demonstrate the operational value of AI-augmented analysis. The ideal candidate brings strong all-source analytical skills, comfort working with diverse data types and sources, and a willingness to push the boundaries of what AI-enabled analytical workflows can deliver. As a power user, you will also play a critical role in shaping platform development by providing direct feedback on usability, capability gaps, workflow effectiveness, and mission relevance — helping ensure that the platform evolves in ways that genuinely improve analytical outcomes. Key Responsibilities: • Conduct all-source analysis using a customer deployed Generative AI Platform, leveraging agentic workflows, structured retrieval, data fusion, and AI-assisted analytical tools to produce mission-relevant assessments and products • Serve as a power user of the Generative AI Platform — deeply learning its capabilities, identifying optimal workflows, and pushing the boundaries of AI-augmented analytical tradecraft • Translate complex analytical questions into structured platform workflows, leveraging natural language interfaces, agent configurations, data queries, and multi-step analytical processes • Synthesize information from diverse structured and unstructured sources to produce clear, well-sourced, and defensible analytical products • Evaluate and validate AI-generated outputs, applying analytical rigor and subject matter judgment to ensure accuracy, relevance, and appropriate sourcing • Provide continuous feedback to engineering and product teams on platform usability, workflow effectiveness, capability gaps, and mission-relevant improvement opportunities • Develop and refine reusable analytical workflows, templates, prompt strategies, and best practices that improve efficiency and consistency across the analyst user base • Support the creation of demonstrations, pilot use cases, and mission-relevant proof-of-concept workflows that showcase platform value to stakeholders • Collaborate with other analysts, engineers, and mission stakeholders to identify high-value analytical use cases and help prioritize platform development • Help define and document concepts of employment, analytical workflows, evaluation criteria, and operational procedures for AI-augmented analysis • Support training, onboarding, and enablement of new platform users by sharing expertise, best practices, and lessons learned • Contribute to the development of quality assurance and evaluation frameworks for AI-assisted analytical products Peraton Labs is seeking an Data Analyst to serve as a power user and mission-facing operator of a customer deployed Generative AI Platform. This role sits at the intersection of analytical tradecraft, operational workflow execution, and hands-on use of AI-enabled tools to produce timely, high-quality analytical products and mission insights. This individual will leverage the full breadth of the Generative AI Platform capabilities — including agentic workflows, natural language interfaces, data retrieval, structured analysis, and automated reporting — to address real-world analytical questions, support decision-makers, and help demonstrate the operational value of AI-augmented analysis. The ideal candidate brings strong all-source analytical skills, comfort working with diverse data types and sources, and a willingness to push the boundaries of what AI-enabled analytical workflows can deliver. As a power user, you will also play a critical role in shaping platform development by providing direct feedback on usability, capability gaps, workflow effectiveness, and mission relevance — helping ensure that the platform evolves in ways that genuinely improve analytical outcomes. Key Responsibilities: • Conduct all-source analysis using a customer deployed Generative AI Platform, leveraging agentic workflows, structured retrieval, data fusion, and AI-assisted analytical tools to produce mission-relevant assessments and products • Serve as a power user of the Generative AI Platform — deeply learning its capabilities, identifying optimal workflows, and pushing the boundaries of AI-augmented analytical tradecraft • Translate complex analytical questions into structured platform workflows, leveraging natural language interfaces, agent configurations, data queries, and multi-step analytical processes • Synthesize information from diverse structured and unstructured sources to produce clear, well-sourced, and defensible analytical products • Evaluate and validate AI-generated outputs, applying analytical rigor and subject matter judgment to ensure accuracy, relevance, and appropriate sourcing • Provide continuous feedback to engineering and product teams on platform usability, workflow effectiveness, capability gaps, and mission-relevant improvement opportunities • Develop and refine reusable analytical workflows, templates, prompt strategies, and best practices that improve efficiency and consistency across the analyst user base • Support the creation of demonstrations, pilot use cases, and mission-relevant proof-of-concept workflows that showcase platform value to stakeholders • Collaborate with other analysts, engineers, and mission stakeholders to identify high-value analytical use cases and help prioritize platform development • Help define and document concepts of employment, analytical workflows, evaluation criteria, and operational procedures for AI-augmented analysis • Support training, onboarding, and enablement of new platform users by sharing expertise, best practices, and lessons learned • Contribute to the development of quality assurance and evaluation frameworks for AI-assisted analytical products Required Qualifications: • Minimum of a Bachelor's degree in Intelligence Studies, International Relations, Political Science, Data Analytics, Information Systems, National Security Studies, or a related field • 5+ years of relevant experience in all-source analysis, intelligence analysis, research analysis, operational analysis, or related analytical roles • Demonstrated experience producing structured analytical products from diverse data sources, including open source, structured databases, and unstructured text • Strong critical thinking, analytical reasoning, and problem-solving skills with the ability to assess source reliability and information credibility • Experience working with analytical tools, platforms, or technologies that support data retrieval, visualization, structured analysis, or report generation • Strong written and verbal communication skills, including the ability to produce clear, concise, and well-organized analytical products and briefings • Comfort operating in fast-paced, evolving environments where tools and workflows are actively being developed and refined • Ability to work cross-functionally with technical teams, providing clear feedback on platform capabilities and analytical needs • US Citizenship with the ability to obtain and maintain public trust suitability Desired Qualifications: • Prior experience in intelligence community, defense, law enforcement, homeland security, or other mission-driven analytical environments • Hands-on experience with AI-enabled analytical tools, large language models, agentic AI platforms, or AI-assisted research and analysis workflows • Experience with prompt engineering, workflow configuration, or natural language interaction with AI systems in an analytical context • Familiarity with structured analytical techniques (SATs), intelligence community analytical standards, or equivalent analytical frameworks • Experience with data visualization, geospatial analysis, link analysis, or other specialized analytical methodologies • Background in evaluating or adopting new analytical technologies, including participation in pilot programs, technology transitions, or capability assessments • Experience developing analytical SOPs, tradecraft guides, training materials, or best practice documentation • Familiarity with knowledge management, data curation, or information organization in support of analytical workflows • Experience in environments where analytical rigor, source protection, and quality assurance are critical operational requirements

Requirements

Must-haves

Minimum of a Bachelor's degree in Intelligence Studies, International Relations, Political Science, Data Analytics, Information Systems, National Security Studies, or a related field
5+ years of relevant experience in all-source analysis, intelligence analysis, research analysis, operational analysis, or related analytical roles
Demonstrated experience producing structured analytical products from diverse data sources, including open source, structured databases, and unstructured text
Strong critical thinking, analytical reasoning, and problem-solving skills with the ability to assess source reliability and information credibility
Experience working with analytical tools, platforms, or technologies that support data retrieval, visualization, structured analysis, or report generation
Strong written and verbal communication skills, including the ability to produce clear, concise, and well-organized analytical products and briefings
Comfort operating in fast-paced, evolving environments where tools and workflows are actively being developed and refined
Ability to work cross-functionally with technical teams, providing clear feedback on platform capabilities and analytical needs
US Citizenship with the ability to obtain and maintain public trust suitability
Serve as a power user of the Generative AI Platform — deeply learning its capabilities, identifying optimal workflows, and pushing the boundaries of AI-augmented analytical tradecraft
Translate complex analytical questions into structured platform workflows, leveraging natural language interfaces, agent configurations, data queries, and multi-step analytical processes
Synthesize information from diverse structured and unstructured sources to produce clear, well-sourced, and defensible analytical products

Nice-to-haves

Prior experience in intelligence community, defense, law enforcement, homeland security, or other mission-driven analytical environments
Hands-on experience with AI-enabled analytical tools, large language models, agentic AI platforms, or AI-assisted research and analysis workflows
Experience with prompt engineering, workflow configuration, or natural language interaction with AI systems in an analytical context
Familiarity with structured analytical techniques (SATs), intelligence community analytical standards, or equivalent analytical frameworks
Experience with data visualization, geospatial analysis, link analysis, or other specialized analytical methodologies
Background in evaluating or adopting new analytical technologies, including participation in pilot programs, technology transitions, or capability assessments
Experience developing analytical SOPs, tradecraft guides, training materials, or best practice documentation
Familiarity with knowledge management, data curation, or information organization in support of analytical workflows
Experience in environments where analytical rigor, source protection, and quality assurance are critical operational requirements
Prior experience in intelligence community, defense, law enforcement, homeland security, or other mission-driven analytical environments
Hands-on experience with AI-enabled analytical tools, large language models, agentic AI platforms, or AI-assisted research and analysis workflows
Experience with prompt engineering, workflow configuration, or natural language interaction with AI systems in an analytical context

Application prep

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Keywords to mirror

Platform: peraton
Effort: medium