At Zone 5 Technologies, we're redefining what's possible in precision weapons and unmanned aircraft systems (UAS). Our team of engineers and innovators are developing cutting-edge autonomous solutions to deliver affordable and scalable precision weapons, interceptors, and UAS.

We're building the next generation of munitions and unmanned systems for the United States and its allies. If you're driven by hard problems, energized by rapid innovation, and ready to make an impact on defense technology, you belong here.

We are seeking a Data Analyst to build production-grade user interfaces and visualization systems for complex autonomy datasets. You will transform data insights into polished, intuitive dashboards, develop frontend components for analytics applications, and create compelling visual narratives that enable engineers to understand flight test results, sensor performance, and system behavior at a glance.

Responsibilities:

Frontend Development & Dashboard Implementation

Build responsive, production-ready web dashboards using modern frontend frameworks (React, TypeScript)
Develop reusable UI components and visualization libraries for internal analytics applications
Implement interactive features including filtering, brushing, zooming, and coordinated views across multiple charts
Create polished user experiences with attention to performance, accessibility, and visual design
Manage state, data flow, and API integration in complex single-page applications

Advanced Data Visualization

Design and implement sophisticated visualizations for time-series, geospatial, and multi-dimensional data
Build custom chart types and interactive graphics tailored to autonomy and flight test use cases
Develop 3D trajectory viewers, map-based displays, and sensor visualization overlays
Create real-time data streaming visualizations for live monitoring of autonomous systems
Implement animation and transition effects that clearly communicate data changes over time

UI/UX Design & Data Presentation

Design intuitive interfaces that make complex technical data accessible to diverse engineering audiences
Create visual hierarchies and information architectures that guide users to critical insights
Develop design systems and style guides for consistent visual language across analytics tools
Conduct user testing and iterate on designs based on feedback from engineering teams
Translate data insights into clear visual narratives that communicate findings effectively

Data Integration & Analytics Tools

Connect frontend applications to data APIs, databases, and analytics backends
Implement client-side data processing and aggregation for responsive user experiences
Build query interfaces and parameter controls that allow users to slice and filter datasets
Develop export and reporting features for sharing insights with stakeholders
Collaborate with data scientists and platform engineers to optimize data delivery for UI performance

Qualifications:

Bachelor's in Computer Science, Data Science, Human-Computer Interaction, Design, or related field – equivalent industry experience also welcome
5-8+ years of experience in frontend development with focus on data-intensive applications
Expert-level proficiency in JavaScript/TypeScript and modern frontend frameworks (React, Vue, or Angular)
Strong experience with data visualization libraries (D3.js, Plotly, Recharts, or similar)
Deep understanding of UI/UX design principles and best practices for data presentation
Proficiency in HTML, CSS, and responsive design techniques
Experience with Python for data manipulation and analysis (Pandas, NumPy)
Understanding of RESTful APIs, GraphQL, and frontend data fetching patterns
Strong visual design skills and ability to create aesthetically pleasing, functional interfaces

Preferred:

Experience building dashboards for engineering, robotics, or technical domains
Familiarity with 3D visualization libraries (Three.js, Deck.gl, Cesium)
Knowledge of geospatial data visualization and mapping libraries (Mapbox, Leaflet)
Understanding of time-series data and real-time streaming visualization