Data Analyst Lead

You will be part of Mobileye's REM department. Mobileye’s Road Experience Management (REM) is an end-to-end mapping and localization engine. It’s being used for full autonomy capabilities and services, generating validation processes and methodologies for such a technology giant is challenging, sufficient & enriching work: https://www.mobileye.com/our-technology/rem/.

Since we are dealing with a complex system based on machine learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities. Our analysts are responsible for running the analysis process and for providing deep analysis reports based on effective analysis of big data.
What will your job look like:
Lead and coordinate the validation of major software releases that integrate features from multiple algorithmic teams. Provide informative analysis based on clips and data review.
Manage and oversee both automated and manual validation processes, ensuring thorough data review and quality control.
Prepare clear, structured reports summarizing validation results, issues, and recommendations for technical and management stakeholders.
Plan, track, and coordinate validation projects, maintaining schedules, identifying risks, and communicating progress across departments.
Collaborate with algorithm developers, engineers, and other stakeholders to troubleshoot issues and propose improvements.
Participate in the planning and design of advanced validation processes.
All you need is:
BSc/MS in Engineering, Computer Science, Physics, Mathematics, Statistics, or other relevant exact sciences degree.
3+ years of experience in technical roles involving data analysis, validation, or project coordination within complex technological environments.
Proven experience as a professional leader, with the ability to manage processes, provide professional guidance, and deliver effective training to employees.
This experience may include direct or indirect leadership, such as mentoring, coordinating cross-functional projects. Demonstrated skills in promoting a collaborative team environment.
Strong ability to establish and optimize workflows, ensuring efficiency and alignment with organizational goals.
Ability to produce clear, data-driven reports and communicate effectively with multidisciplinary teams