Data Analyst

We are seeking a highly analytical and detail-oriented Data Analyst to support our Command and Control (C2) system.

The ideal candidate will be responsible for analyzing and visualizing real-time and historical data from a variety of sensors (e.g., radars, PTZ cameras, drones) to support decision-making, system optimization, and customer reporting.This role involves working with large, mission-critical datasets stored in PostgreSQL, and presenting key insights through interactive dashboards, reports, and visual overlays.

Key Responsibilities:

• Analyze operational and sensor data from the Command & Control system stored in PostgreSQL databases.

• Develop interactive dashboards and visualizations to support operational monitoring, performance analysis, and incident review.

• Work closely with product managers, system engineers, and field teams to understand data needs and deliver actionable insights.

• Design data models, aggregate queries, and optimize SQL performance for analytical use.

• Automate recurring reports and visualization processes to support ongoing operations and customer requirements.

• Identify data quality issues and collaborate with engineering teams to improve data accuracy and consistency.

• Support integration of geospatial and time-series visualizations (e.g., field-of-view overlays, heatmaps, movement tracks).

• Assist in interpreting system usage metrics to inform product development and system tuning.

Requirements:

• Proven experience as a Data Analyst, preferably in defense, security, or real-time systems environments.

• Strong SQL skills with experience querying and managing data in PostgreSQL.

• Proficiency with data visualization tools (e.g., Tableau, Grafana, Power BI, or custom dashboards using Python/JavaScript).

• Experience working with geospatial data (PostGIS, GeoJSON, or similar) is a strong advantage.

• Familiarity with time-series analysis and visual representation of streaming data.

• Solid understanding of data structures, ETL processes, and data validation techniques.

• Excellent problem-solving skills and the ability to translate complex data into clear insights.

• Strong communication and collaboration skills, especially with technical and field teams.