we are the agentic intelligence platform for cyber and quality teams. We protect and analyze data from millions of connected assets worldwide, including vehicles, robots, charging stations, fleets, and the broader physical-AI ecosystem - for Fortune 500 companies. Our platform spans AI and API security, cybersecurity XDR, proactive quality detection, and cyber threat intelligence.
we are looking for a highly motivated student to join our Data Analytics team. This role includes exploring and extracting insights from millions of connected vehicles on the road. As a Data Analyst, you'll develop the next generation of cybersecurity and mobility data applications for the automotive industry.
we are a fast-growing company and is looking for determined and devoted individuals. This is a chance to witness the connected vehicles revolution from a different angle. You will play a major role in the companys engagements, research large complex datasets, and use cutting-edge tools and methodology.
This role is part-time and is Israel based.
Responsibilities
Leading the data onboarding process of new customers.
Explore raw data of various customers as preparation for parsing and normalization in order to turn data into actionable insights and make data-driven decisions.
Use big data tools and AI to analyze large scale real-time data of connected vehicles and identify anomalies and emerging threats to create meaningful detectors that bring value to our customers.
Representing the data function both internally and externally, including customer-facing interactions.
Requirements: BSc student in Computer Science / Software Engineering / Information Systems Engineering or any other relevant degree - a must.
At least one year until graduation.
Availability for at least two working days a week - from the office.
Hands-on experience as a data analyst (military experience considered as well).
Solid experience in scripting languages (Python, JavaScript, or similar), with data analysis tools (Pandas, NumPy, or similar) - a must.
Experience in querying and analyzing large, complex data sets (SQL, ElasticSearch, Athena, or similar) - a must.
Striking analytical skills with the ability to identify, analyze, and interpret trends or patterns in complex data sets with great attention to detail.
Team player, with effective interpersonal skills, initiative, and good vibes. Ability to communicate with both business and technical counterparts, and with executive skills.
Experience in the fields of Automotive, Cybersecurity, Data Observability, and IoT infrastructure - an advantage.
Experience with network and messaging protocols such as HTTP, OCPP, MQTT, and CoAP - an advantage.
This position is open to all candidates.