{"schemaVersion":"jobsearcher.job.v1","id":"3c3d5691a71b6f0500136eae","url":"https://jobsearcher.com/jobs/3c3d5691a71b6f0500136eae","canonicalUrl":"https://jobsearcher.com/jobs/3c3d5691a71b6f0500136eae","title":"Senior Analytics and Visualization Engineer","description":"Senior Analytics and Visualization Engineer\r\nUS-VA-Herndon | US-MD-Annapolis Junction\r\nResponsibilities\r\nPeraton Labs is seeking a Senior Analytics & Visualization Engineer to 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.\r\nThe 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.\r\nThe 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.\r\nKey responsibilities may include, but are not limited to:\r\nTranslate ambiguous stakeholder needs and operational questions into dashboard concepts, product requirements, metrics, and analytical workflows\r\nDefine KPIs, thresholds, scoring logic, and analytical methods supporting Digital Command Center products\r\nAssess data quality, completeness, consistency, timeliness, lineage, and analytical usability\r\nAnalyze structured and semi-structured data to identify trends, dependencies, gaps, anomalies, and decision-relevant insights\r\nPartner with data teams, systems engineers, AI/ML scientists, and mission stakeholders to ensure data is accurate, traceable, and fit for use\r\nDefine dashboard information architecture, navigation, filters, drilldowns, alerts, and workstream specific views\r\nDesign, 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 required\r\nValidate AI-generated code, queries, calculations, metrics, visualizations, and narrative outputs\r\nCreate clear data narratives that explain what happened, why it matters, and what actions stakeholders should consider\r\nLead dashboard demonstrations, product reviews, and analytical briefings for technical, program, and executive audiences\r\nGather user feedback and translate it into prioritized enhancements, backlog items, and product roadmap recommendations\r\nContribute to dashboard standards, reusable templates, visualization components, prompt and memory libraries, metric catalogs, and product documentation\r\nQualifications\r\nRequired Qualifications\r\n8+ 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 discipline\r\nHands-on proficiency with Python, SQL, JavaScript, TypeScript, R, or similar languages\r\nProficiency with one or more dashboard or visualization platforms\r\nExperience working with relational data, JSON, CSV, Parquet, APIs, and cloud-hosted datasets\r\nStrong understanding of data visualization, information hierarchy, user interaction, and dashboard usability\r\nFamiliarity with LLMs, prompt engineering, AI-assisted code generation, and human-in-the-loop review\r\nExperience developing production-quality dashboards, analytical applications, data visualizations, or decision-support products\r\nExperience defining and validating metrics, KPIs, analytical logic, trend analyses, scoring models, or decision-support methods\r\nExperience translating operational or stakeholder needs into analytical requirements and measurable outputs\r\nAbility to inspect, validate, and troubleshoot AI-generated code, queries, metrics, and analytical outputs\r\nDemonstrated ability to communicate findings—through visual storytelling, concise narratives, and decision-oriented recommendations—to senior leaders, customers, product owners, or operational stakeholders\r\nStrong analytical judgment, creativity, communication skills, and comfort working with evolving requirements\r\nUS Citizenship with ability to obtain/maintain an FAA Public Trust\r\nDesired Qualifications\r\nExperience with Tableau, Power BI, Grafana, Plotly, Dash, Streamlit, Superset, Qlik, Looker, D3.js, React, Vega-lite, Highcharts, ECharts, or ArcGIS\r\nExperience with Databricks, Snowflake, Microsoft Fabric, Azure Synapse, data lakes, data warehouses, or lakehouse architectures\r\nFamiliarity with ETL/ELT, data pipelines, APIs, metadata, lineage, data catalogs, data quality, schemas, or streaming data\r\nExperience with agentic AI architectures—including RAG, context engineering, tool-using agents, and structured output validation—and frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex\r\nExperience with forecasting, anomaly detection, risk scoring, dependency analysis, schedule analytics, scenario analysis, simulation, optimization, or geospatial analysis\r\nExperience with product discovery, design thinking, wireframing, prototyping, usability testing, accessibility, Section 508, and color-blind-safe visualization design\r\nExperience supporting FAA, NAS, aviation, air traffic operations, transportation, defense, command centers, infrastructure modernization, or other safety-critical operational environments\r\nTarget Salary Range\r\n$104,000 - $166,000. 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.\r\nEEO\r\nEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.\r\nJ-18808-Ljbffr","company":"Peraton","rawCompany":"peraton","city":"Herndon","state":"VA","isRemote":false,"isActive":true,"createdAt":"2026-08-08T01:06:58.195Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Analytics and Visualization Engineer","description":"Senior Analytics and Visualization Engineer\r\nUS-VA-Herndon | US-MD-Annapolis Junction\r\nResponsibilities\r\nPeraton Labs is seeking a Senior Analytics & Visualization Engineer to 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.\r\nThe 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.\r\nThe 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.\r\nKey responsibilities may include, but are not limited to:\r\nTranslate ambiguous stakeholder needs and operational questions into dashboard concepts, product requirements, metrics, and analytical workflows\r\nDefine KPIs, thresholds, scoring logic, and analytical methods supporting Digital Command Center products\r\nAssess data quality, completeness, consistency, timeliness, lineage, and analytical usability\r\nAnalyze structured and semi-structured data to identify trends, dependencies, gaps, anomalies, and decision-relevant insights\r\nPartner with data teams, systems engineers, AI/ML scientists, and mission stakeholders to ensure data is accurate, traceable, and fit for use\r\nDefine dashboard information architecture, navigation, filters, drilldowns, alerts, and workstream specific views\r\nDesign, 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 required\r\nValidate AI-generated code, queries, calculations, metrics, visualizations, and narrative outputs\r\nCreate clear data narratives that explain what happened, why it matters, and what actions stakeholders should consider\r\nLead dashboard demonstrations, product reviews, and analytical briefings for technical, program, and executive audiences\r\nGather user feedback and translate it into prioritized enhancements, backlog items, and product roadmap recommendations\r\nContribute to dashboard standards, reusable templates, visualization components, prompt and memory libraries, metric catalogs, and product documentation\r\nQualifications\r\nRequired Qualifications\r\n8+ 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 discipline\r\nHands-on proficiency with Python, SQL, JavaScript, TypeScript, R, or similar languages\r\nProficiency with one or more dashboard or visualization platforms\r\nExperience working with relational data, JSON, CSV, Parquet, APIs, and cloud-hosted datasets\r\nStrong understanding of data visualization, information hierarchy, user interaction, and dashboard usability\r\nFamiliarity with LLMs, prompt engineering, AI-assisted code generation, and human-in-the-loop review\r\nExperience developing production-quality dashboards, analytical applications, data visualizations, or decision-support products\r\nExperience defining and validating metrics, KPIs, analytical logic, trend analyses, scoring models, or decision-support methods\r\nExperience translating operational or stakeholder needs into analytical requirements and measurable outputs\r\nAbility to inspect, validate, and troubleshoot AI-generated code, queries, metrics, and analytical outputs\r\nDemonstrated ability to communicate findings—through visual storytelling, concise narratives, and decision-oriented recommendations—to senior leaders, customers, product owners, or operational stakeholders\r\nStrong analytical judgment, creativity, communication skills, and comfort working with evolving requirements\r\nUS Citizenship with ability to obtain/maintain an FAA Public Trust\r\nDesired Qualifications\r\nExperience with Tableau, Power BI, Grafana, Plotly, Dash, Streamlit, Superset, Qlik, Looker, D3.js, React, Vega-lite, Highcharts, ECharts, or ArcGIS\r\nExperience with Databricks, Snowflake, Microsoft Fabric, Azure Synapse, data lakes, data warehouses, or lakehouse architectures\r\nFamiliarity with ETL/ELT, data pipelines, APIs, metadata, lineage, data catalogs, data quality, schemas, or streaming data\r\nExperience with agentic AI architectures—including RAG, context engineering, tool-using agents, and structured output validation—and frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex\r\nExperience with forecasting, anomaly detection, risk scoring, dependency analysis, schedule analytics, scenario analysis, simulation, optimization, or geospatial analysis\r\nExperience with product discovery, design thinking, wireframing, prototyping, usability testing, accessibility, Section 508, and color-blind-safe visualization design\r\nExperience supporting FAA, NAS, aviation, air traffic operations, transportation, defense, command centers, infrastructure modernization, or other safety-critical operational environments\r\nTarget Salary Range\r\n$104,000 - $166,000. 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.\r\nEEO\r\nEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:06:58.195Z","dateModified":"2026-08-08T01:06:58.195Z","hiringOrganization":{"@type":"Organization","name":"Peraton","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Herndon","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3c3d5691a71b6f0500136eae"},"url":"https://jobsearcher.com/jobs/3c3d5691a71b6f0500136eae"}}