Data Analyst

1 week ago

Tel Aviv, Tel Aviv, Israel Kela Technologies Full time $90,000 - $120,000 per year

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.

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