Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visitperaton.comto learn how we’re keeping people around the world safe and secure. Responsibilities Peraton Labsis seeking aSenior Analytics & Visualization Engineerto support the BNATCS CTO DCC (Digital Command Center) team to design and develop decision-support dashboards that transform complex program, operational, schedule, requirements, risk, and aviation data into clear, trusted, and actionable insights.The ideal candidate combines dashboard development, analytics, product thinking, and stakeholder communication skills to deliver AI-enabled workflows to rapidly prototype, validate, and deliver DCC capabilities. This role requires someone who can move beyond predefined requirements and shape dashboard concepts, identify meaningful metrics, tell compelling stories through data, and brief technical and executive stakeholders directly.The most qualified candidates for this position will think like a product strategist, build like an analytics engineer, and communicate like a trusted advisor while maintaining the technical and analytical rigor expected of Digital Command Center products.Key responsibilities may include, but are not limited to:Translate ambiguous stakeholder needs and operational questions into dashboard concepts, product requirements, metrics, and analytical workflowsDefine KPIs, thresholds, scoring logic, and analytical methods supporting Digital Command Center productsAssess data quality, completeness, consistency, timeliness, lineage, and analytical usabilityAnalyze structured and semi-structured data to identify trends, dependencies, gaps, anomalies, and decision-relevant insightsPartner with data teams, systems engineers, AI/ML scientists, and mission stakeholders to ensure data is accurate, traceable, and fit for useDefine dashboard information architecture, navigation, filters, drilldowns, alerts, and workstream specific viewsDesign, develop, test, and maintain interactive dashboards, analytical applications, executive views, and decision-support products using AI, prompt-driven development, low-code tools, visualization platforms, and conventional coding methods as requiredValidate AI-generated code, queries, calculations, metrics, visualizations, and narrative outputsCreate clear data narratives that explain what happened, why it matters, and what actions stakeholders should considerLead dashboard demonstrations, product reviews, and analytical briefings for technical, program, and executive audiencesGather user feedback and translate it into prioritized enhancements, backlog items, and product roadmap recommendationsContribute to dashboard standards, reusable templates, visualization components, prompt and memory libraries, metric catalogs, and product documentation Qualifications Required Qualifications8 years of experience with a BS/BA, 6 years with a MS/MA, or 3 years with a PhD in Data Science, Computer Science, Information Systems, Analytics, Statistics, Mathematics, Operations Research, Human-Computer Interaction, Data Visualization, or a related technical disciplineHands-on proficiency with Python, SQL, JavaScript, TypeScript, R, or similar languagesProficiency with one or more dashboard or visualization platformsExperience working with relational data, JSON, CSV, Parquet, APIs, and cloud-hosted datasetsStrong understanding of data visualization, information hierarchy, user interaction, and dashboard usabilityFamiliarity with LLMs, prompt engineering, AI-assisted code generation, and human-in-the-loop reviewExperience developing production-quality dashboards, analytical applications, data visualizations, or decision-support productsExperience defining and validating metrics, KPIs, analytical logic, trend analyses, scoring models, or decision-support methodsExperience translating operational or stakeholder needs into analytical requirements and measurable outputsAbility to inspect, validate, and troubleshoot AI-generated code, queries, metrics, and analytical outputsDemonstrated ability to communicate findings-through visual storytelling, concise narratives, and decision-oriented recommendations-to senior leaders, customers, product owners, or operational stakeholdersStrong analytical judgment, creativity, communication skills, and comfort working with evolving requirementsUS Citizenship with ability to obtain/maintain an FAA Public TrustDesired QualificationsExperience with Tableau, Power BI, Grafana, Plotly, Dash, Streamlit, Superset, Qlik, Looker, D3.js, React, Vega-lite, Highcharts, ECharts, or ArcGISExperience with Databricks, Snowflake, Microsoft Fabric, Azure Synapse, data lakes, data warehouses, or lakehouse architecturesFamiliarity with ETL/ELT, data pipelines, APIs, metadata, lineage, data catalogs, data quality, schemas, or streaming dataExperience with agentic AI architectures-including RAG, context engineering, tool-using agents, and structured output validation-and frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndexExperience with forecasting, anomaly detection, risk scoring, dependency analysis, schedule analytics, scenario analysis, simulation, optimization, or geospatial analysisExperience with product discovery, design thinking, wireframing, prototyping, usability testing, accessibility, Section 508, and color-blind-safe visualization designExperience supporting FAA, NAS, aviation, air traffic operations, transportation, defense, command centers, infrastructure modernization, or other safety-critical operational environments