Data Collection Analyst

Which Team will you join?

The Data Collection (DC) group is responsible for providing all data needs for all Mobileye technologies. The group manages a fleet of experimental vehicles equipped with a range of Mobileye sensors, from single-camera systems to the most advanced surround systems, including ground truth systems such as Lidar, Radar, and INS.

With teams based in Israel, the USA, and Europe, the DC group collaborates to provide Mobileye with diverse datasets for research and development.

You will join the Data Collection Engineers team, a versatile and dynamic team responsible for managing the vehicle's experimental systems, analyzing collected data, and delivering it for further insights.

What will your job look like?

• Collaborate with stakeholders to define data requirements, ensuring alignment between data collection and analytical goals.
• Diagnose and resolve data quality issues, maintaining accurate, reliable datasets for analysis and reporting.
• Ensure data integrity and accuracy to support data-driven decision-making and deliver clear insights to stakeholders.
• Continuously optimize data collection processes to improve efficiency and maintain high data quality standards.
  
  

• B.Sc. in Industrial Engineering or data management or equivalent degree.
• 2-3 years of experience in Data Analysis tools (e.g., SQL, Excel).
• Hands-on experience creating dashboards and reports with BI tools (e.g., PowerBI, QlikSense, or similar).
• Proficient in handling large datasets, ensuring data integrity and quality.
• Knowledge of statistical analysis and techniques for deriving insights.
• Strong project management skills for coordinating multiple tasks and meeting deadlines.
• Excellent communication and collaboration skills for cross-functional teamwork, along with a strong ability for self-learning and innovative problem-solving.
• Experience in the automotive industry, hardware, or executing experiments- Advantage.
• Experience in Linux- Advantage.
• Fluent English: spoken and written.