Data Analyst

Mobileye is looking for a Data Analyst to join a team responsible for the smooth operation and optimization of data pipelines that generate ground truth for Mobileye’s data.

We prioritize monitoring, analyzing, and troubleshooting pipeline performance to ensure high reliability, minimal downtime, and exceptional data quality across all workflows. Additionally, we develop and maintain dashboards and reports that provide visibility into pipeline runs, errors, and processing times, enabling data‑driven decisions and continuous improvement.

What will your job look like:

• Run data pipelines, monitor and analyze their performance, ensuring seamless execution and minimal downtime.
• Collaborate with data engineers to troubleshoot and resolve pipeline failures or delays promptly.
• Conduct root cause analysis for pipeline issues and recommend improvements to enhance reliability and efficiency.
• Track data quality metrics, such as completeness and accuracy.
• Automate triggering, reporting and alerting processes for data pipelines to reduce manual intervention.
• Work closely with developers, data engineers, and product managers on a daily basis to troubleshoot pipeline issues, align priorities, and continuously improve data workflows and reliability.
  
  

• Bachelor’s Degree in Statistics, Industrial Engineering, Biomedical Engineering or a related field.
• 2+ years of experience using Python for data manipulation, analysis, and tools development.
• Excellent interpersonal and communication skills, with experience working in cross-functional environments and collaborating with multiple stakeholders.
• Experience with big data frameworks & solutions (Spark/Athena or similar) - advantage.
• Proficiency in SQL and experience with relational databases; NoSQL familiarity - advantage.
• Hands‑on experience with data visualization tools (e.g., Tableau, Power BI, Looker, or similar) - advantage.
• Experience working in Git‑based environments - advantage.