Data Analyst

A startup in the automotive cyber security field focuses on the Automotive and Connected Car sectors, providing a cloud platform for cyber security and data analytics for the automotive industry.

The company is post-Series C funding, with total funding exceeding $100M, and is significantly stable moving forward. The investors are strategic investors from the automotive world. The company has paying customers, including car manufacturers, insurance companies, and fleet management companies.

Job description: Part of a team, reporting to a team leader.

The company is located in the Sharon area (walking distance from the train station), operates a hybrid model with two days of remote work per week, and has 115 employees globally, most of whom are in Israel.

Responsibilities

• Leading the data onboarding process of new customers.
• Data parsing and normalization in order to turn data into actionable insights and make data-driven decisions.
• Use big data tools to analyze real-time data of millions of connected vehicles and identify emerging threats.
• Explore raw data of various customers, using data cleansing and data preparation tools and flows.
• Research large scale and diverse automotive data sets to identify anomalies and create meaningful detectors that bring value to our customers.
• Automate internal workloads using scripting languages.

Requirements

• 3 years of hands-on experience as a data analyst (military experience considered as well).
• Solid experience in scripting languages (Python, R, or similar), with data analysis tools (Pandas, NumPy, or similar)
• Experience in querying and analyzing large, complex data sets (SQL, Elasticsearch, Athena, or similar)
• 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, effective interpersonal skills, and good vibes. Ability to communicate with both business and technical counterparts.
• BA/B.Sc. in Statistics / Math / Engineering or equivalent combination of education, training, and experience