Senior Analytics and Visualization Engineer

Peraton•Herndon, VA

About The Position

Peraton Labs is seeking a Senior Analytics & Visualization Engineer to support the BNATCS CTO Digital Command Center (DCC) team. The role designs and develops decision-support dashboards that turn complex program, operational, schedule, requirements, risk, and aviation data into clear, trusted, actionable insights. It combines dashboard development, analytics, product thinking, and stakeholder communication to prototype, validate, and deliver DCC capabilities, including AI-enabled workflows. The successful candidate shapes dashboard concepts beyond predefined requirements, identifies meaningful metrics, communicates insights through data, and briefs technical and executive stakeholders. The work calls for product-strategy thinking, analytics engineering, and trusted-advisor communication while maintaining technical and analytical rigor.

Requirements

At least 8 years of experience with a BS/BA, 6 years with an 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.
U.S. citizenship and ability to obtain or maintain an FAA Public Trust.

Nice To Haves

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.

Responsibilities

Translate ambiguous stakeholder needs and operational questions into dashboard concepts, product requirements, metrics, and analytical workflows.
Define KPIs, thresholds, scoring logic, and analytical methods for 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 needed.
Validate AI-generated code, queries, calculations, metrics, visualizations, and narrative outputs.
Create data narratives explaining 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.