Data Analyst JB-4223

A fast-growing start-up with an innovative cyber security product for the automotive industry is searching for a passionate Data Analyst to explore and extract insights from millions of connected vehicles on the road. In this role, you'll develop the next generation of cybersecurity and mobility data applications for the automotive industry.

Main 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 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.
• Automate internal processes using scripting languages.

Requirements:

• At least 3 years of 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.
• BA/B.Sc. in Statistics / Math / Engineering or equivalent combination of education, training, and experience - a must.
• 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.