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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI / Data Analyst - **Company:** Peraton Inc - **Location:** Herndon, VA, United States - **Salary:** $135,000 - $216,000 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Business Analytics Applications, Data Analysis, Cloud Engineering, Cyber Security, Data Validation, Data Governance, Data Visualization, Intelligence Analysis, Python (Programming Language), Natural Language Processing, Network Attached Storage (Server Appliance), Productivity Software, Power BI, Microsoft Copilot, SQL Databases, Systems Integration, Tableau (Software), Unstructured Data, Data Processing, Large Language Models, Prompt Engineering, Generative AI, Claude, Google Gemini, GPT, Database Tools and Utilities - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-data-analyst-herndon-va--716e8fac-5617-4812-b507-ac239faa09c6 ## About the Role Data Analysis, Artificial Intelligence (AI), Cyberspace, System Integration (SI), Air Traffic Control (ATC), Federal Aviation Administration (FAA), Control Systems, Aviation Industry, Data Science, Network Attached Storage (NAS), * U.S. Citizenship Required. * Must have the ability to obtain / maintain a Public Trust clearance. * Bachelor's degree and 12 years of experience or Master's degree and 10 years of experience or Associate's degree and 14 years of experience or HS diploma/equivalent and 16 years' experience. * Background as an Intelligence Analyst, All-Source Analyst, Data Analyst, Research Analyst, Business Intelligence Analyst, or similar analytical professional. * Experience integrating, manipulating, or analyzing information from multiple disparate data sources. * Experience working with large volumes of structured and unstructured data. * Familiarity with Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), or AI-assisted analytical tools. * Experience using tools such as ChatGPT, Claude, Gemini, Microsoft Copilot, or other LLM-based platforms for research, analysis, summarization, or information synthesis. * Experience with prompt development/prompt engineering and evaluating AI-generated responses. * Demonstrated experience working with and manipulating large, complex, or diverse datasets from multiple sources. * Experience validating data quality and identifying incomplete, inconsistent, or conflicting information., * Experience supporting federal government, defense, intelligence, aviation, or other mission-critical environments. * Proficiency with common data analysis and productivity tools such as Microsoft Excel and related reporting or visualization applications. * Understanding of data governance, information security, privacy, and Responsible AI principles. * Relevant professional experience in intelligence analysis, all-source analysis, data analysis, research, business intelligence, operations analysis, or a related analytical discipline. * Experience with data visualization or business intelligence tools such as Power BI or Tableau. * Familiarity with SQL, Python, or other data manipulation/query tools is a plus but not required. * Experience analyzing both structured and unstructured information to identify patterns, trends, relationships, anomalies, and actionable insights. * Demonstrated ability to research, evaluate, correlate, and synthesize information from multiple sources. #BNATCS Target Salary Range: $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Benefits Statement ## Description Peraton is seeking a talented AI / Data Analyst to support the development and application of AI-enabled solutions within a mission-focused environment. In this role, you will work with modern Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), and cloud-based AI technologies to turn complex data into intelligent, scalable applications., In this role, you will help move AI capabilities from concept to production, developing secure and responsible solutions that allow users to interact with complex information in faster and more intuitive ways. This role provides an opportunity for experienced Data Analysts to bring their existing skills into the rapidly evolving world of Generative AI and advanced data analytics without requiring a traditional software-engineering career path. * Collect, organize, manipulate, and analyze structured and unstructured data from multiple sources. * Evaluate large and diverse datasets to identify patterns, trends, relationships, anomalies, and potential risks. * Apply analytical techniques to transform complex information into actionable insights and recommendations. * Support the use of Generative AI and Large Language Models (LLMs) to analyze, summarize, categorize, and extract insights from information. * Develop and refine prompts to improve the quality and accuracy of AI-generated results. * Evaluate AI-generated outputs for accuracy, relevance, completeness, and consistency. * Research and correlate information across multiple data sources to develop a more complete understanding of complex issues. * Assist with preparing data for AI-enabled analysis, including data validation, cleansing, normalization, tagging, and organization. * Support dashboards, reports, visualizations, and analytical products that communicate findings to stakeholders. * Work closely with AI engineers, data scientists, software developers, and mission stakeholders to translate analytical requirements into AI-enabled capabilities. * Identify opportunities where AI, automation, and advanced analytics can improve existing analytical processes. * Document analytical methodologies, data sources, assumptions, findings, and recommendations. * Apply appropriate data governance, security, privacy, and responsible AI practices when handling sensitive information. Why This Role Matters Modern AI is only as effective as the data, analytical thinking, and mission understanding behind it. Your ability to examine information from multiple sources, recognize relationships, challenge assumptions, and identify meaningful insights will help shape how AI capabilities are developed and used.