Data Analyst - Generative AI Platform Power User

Peraton•,

3d•$86,000 - $138,000

About The Position

Peraton Labs is seeking a Data Analyst to serve as a power user and mission-facing operator of a customer-deployed Generative AI Platform. The role combines analytical tradecraft, operational workflow execution, and hands-on use of AI-enabled tools to produce timely, high-quality analytical products and mission insights. The analyst will use platform capabilities—including agentic workflows, natural language interfaces, data retrieval, structured analysis, and automated reporting—to address analytical questions, support decision-makers, and demonstrate the operational value of AI-augmented analysis. The role also provides direct feedback to engineering and product teams on usability, capability gaps, workflow effectiveness, and mission relevance, helping guide platform development. Peraton requires a bachelor's degree in a relevant field and at least five years of relevant analytical experience. Candidates must be U.S. citizens able to obtain and maintain public trust suitability.

Requirements

Bachelor's degree in Intelligence Studies, International Relations, Political Science, Data Analytics, Information Systems, National Security Studies, or a related field.
At least 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 sources, including open source, structured databases, and unstructured text.
Strong critical thinking, analytical reasoning, and problem-solving skills, including the ability to assess source reliability and information credibility.
Experience with analytical tools, platforms, or technologies supporting data retrieval, visualization, structured analysis, or report generation.
Strong written and verbal communication skills, including the ability to produce clear, concise, well-organized analytical products and briefings.
Comfort working in fast-paced, evolving environments where tools and workflows are actively developed and refined.
Ability to work cross-functionally with technical teams and communicate platform capabilities and analytical needs.
U.S. citizenship and ability to obtain and maintain public trust suitability.

Nice To Haves

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, intelligence community analytical standards, or equivalent frameworks.
Experience with data visualization, geospatial analysis, link analysis, or other specialized analytical methodologies.
Experience evaluating or adopting 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 supporting analytical workflows.
Experience in environments where analytical rigor, source protection, and quality assurance are critical operational requirements.

Responsibilities

Conduct all-source analysis using the customer-deployed Generative AI Platform, including agentic workflows, structured retrieval, data fusion, and AI-assisted analytical tools.
Learn the platform’s capabilities, identify effective workflows, and advance AI-augmented analytical tradecraft.
Translate complex analytical questions into structured workflows using natural language interfaces, agent configurations, data queries, and multi-step processes.
Synthesize structured and unstructured information into clear, well-sourced, defensible analytical products.
Evaluate and validate AI-generated outputs for accuracy, relevance, and appropriate sourcing using analytical judgment.
Provide engineering and product teams with ongoing feedback on usability, workflow effectiveness, capability gaps, and mission-relevant improvements.
Develop and refine reusable workflows, templates, prompt strategies, and best practices to improve efficiency and consistency.
Support demonstrations, pilot use cases, and proof-of-concept workflows that show platform value to stakeholders.
Collaborate with analysts, engineers, and mission stakeholders to identify high-value 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 for new platform users by sharing expertise, best practices, and lessons learned.
Contribute to quality assurance and evaluation frameworks for AI-assisted analytical products.