Data Analyst - Generative AI Platform Power User

Peraton Labs is seeking a Data Analyst to operate a customer-deployed Generative AI Platform and use its capabilities to produce timely, high-quality analytical products and mission insights. The role also shapes platform development through workflow design, evaluation of AI-generated outputs, and feedback to engineering and product teams.

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

Requirements:

• 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
• 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