Senior Analytics and Visualization Engineer

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, Type Script, 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…