Senior Analytics and Visualization Engineer
Peraton
Herndon, VA · Posted October 12, 2026
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Where Herndon, VA ranks
Where Herndon, VA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Best cities for pay after cost of living in Virginia$161k · of 15
- #3Best cities for pay after cost of living in the Southeast$161k · of 33
- #3Best all-round cities for AI careers in the Mid-Atlantic86 / 100 · of 37
- #4Best cities for pay after cost of living in the Mid-Atlantic$161k · of 37
- #4Best cities for software and engineering jobs in the Mid-Atlantic441 openings · of 68
- #4Best all-round cities for mid-career professionals in the Mid-Atlantic76 / 100 · of 37
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Peraton has filed 3 layoff notices in the last twelve months, covering 133 workers, most recently October 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
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About the job
Responsibilities Peraton 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. 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 workflows Define KPIs, thresholds, scoring logic, and analytical methods supporting Digital Command Center products Assess data quality, completeness, consistency, timeliness, lineage, and analytical usability Analyze structured and semi-structured data to identify trends, dependencies, gaps, anomalies, and decision-relevant insights Partner with data teams, systems engineers, AI/ML scientists, and mission stakeholders to ensure data is accurate, traceable, and fit for use Define dashboard information architecture, navigation, filters, drilldowns, alerts, and workstream specific views Design, 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 Validate AI-generated code, queries, calculations, metrics, visualizations, and narrative outputs Create clear data narratives that explain what happened, why it matters, and what actions stakeholders should consider Lead dashboard demonstrations, product reviews, and analytical briefings for technical, program, and executive audiences Gather user feedback and translate it into prioritized enhancements, backlog items, and product roadmap recommendations Contribute to dashboard standards, reusable templates, visualization components, prompt and memory libraries, metric catalogs, and product documentation Qualifications Required Qualifications 8+ 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 Hands-on proficiency with Python, SQL, JavaScript, TypeScript, R, or similar languages Proficiency with one or more dashboard or visualization platforms Experience working with relational data, JSON, CSV, Parquet, APIs, and cloud-hosted datasets Strong understanding of data visualization, information hierarchy, user interaction, and dashboard usability Familiarity with LLMs, prompt engineering, AI-assisted code generation, and human-in-the-loop review Experience developing production-quality dashboards, analytical applications, data visualizations, or decision-support products Experience defining and validating metrics, KPIs, analytical logic, trend analyses, scoring models, or decision-support methods Experience translating operational or stakeholder needs into analytical requirements and measurable outputs Ability to inspect, validate, and troubleshoot AI-generated code, queries, metrics, and analytical outputs Demonstrated ability to communicate findings—through visual storytelling, concise narratives, and decision-oriented recommendations—to senior leaders, customers, product owners, or operational stakeholders Strong analytical judgment, creativity, communication skills, and comfort working with evolving requirements US Citizenship with ability to obtain/maintain an FAA Public Trust Desired Qualifications Experience with Tableau, Power BI, Grafana, Plotly, Dash, Streamlit, Superset, Qlik, Looker, D3.js, React, Vega-lite, Highcharts, ECharts, or ArcGIS Experience with Databricks, Snowflake, Microsoft Fabric, Azure Synapse, data lakes, data warehouses, or lakehouse architectures Familiarity with ETL/ELT, data pipelines, APIs, metadata, lineage, data catalogs, data quality, schemas, or streaming data Experience 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 Experience with forecasting, anomaly detection, risk scoring, dependency analysis, schedule analytics, scenario analysis, simulation, optimization, or geospatial analysis Experience with product discovery, design thinking, wireframing, prototyping, usability testing, accessibility, Section 508, and color-blind-safe visualization design Experience supporting FAA, NAS, aviation, air traffic operations, transportation, defense, command centers, infrastructure modernization, or other safety-critical operational environments Peraton 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. Visit peraton.com to learn how we’re keeping people around the world safe and secure. Target Salary Range $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. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.