- Robot type
- Autonomous Vehicle
- Location
- San FranciscoCaliforniaUSA
- Job type
- Product
- Posted
- Jul 24, 2026
- Salary
- $200,000–$247,000 a year
Staff Business Intelligence Analyst, Resilience
Job description
Waymo’s Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.
In this hybrid role, you will report to the Product Data Science Lead, Supply Operations.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.
Job responsibilities
- Define, build, and maintain KPIs and metrics to measure operational safety and quality across our Operations Center
- Architect and scale data infrastructure to support automated reporting for Road Rule Events, improving operational transparency and safety insights
- Quantify our operational capacity to handle events, providing actionable data to scale team performance and optimize response protocols
- Analyze agent response precision to identify performance patterns, optimize workflows, and provide input for AI model training
- Partner cross-functionally to translate business challenges into robust data pipelines and reporting solutions that drive operational resilience
Job requirements
- 8+ years of experience in a related technical field (or equivalent practical experience), with a proven track record of architecting and scaling projects
- Excellent communication and Stakeholder & Management skills: You can communicate clearly complex topic in an easy to understand way to stakeholders at all levels of the company
- Extensive experience with data modeling, warehousing and building ETL pipelines
- Action Oriented Analytical mindset - you not only build the report, you look at your data and make actionable recommendations from it
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