Senior Business Intelligence Analyst
$168k - $207kFull-time
Waymo
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. 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. This role follows a hybrid work schedule and you will report to the Manager of Product Data Science. You Will
- Mine, triage, and analyze data from disparate, large-scale sources to extract insights that help evaluate driving scenarios and support onboard release deployment
- Partner with Product Managers, Engineers, Program Managers to identify the right measurements for product performance and prioritization
- Design and implement foundational data pipelines, and build the right reports and visualizations to drive insights
- Develop a deep understanding of various metrics, datasets, and data sources in relation to self-driving vehicle releases and the product roadmap
- Organize, develop, and contribute to signals and heuristics that capture targeted driving behaviors and scenarios
- Drive a culture of excellence and help establish best practices within the broader data science team
- 5+ years of experience in a related technical field (or equivalent practical experience), with a proven track record of managing stakeholder relationships and prioritizing multiple projects
- Ability to scope, structure, and solve ambiguous problems from end to end by creating clear analysis plans
- Strong data intuition and statistical knowledge, with the ability to translate disparate signals from large, diverse datasets into insights on vehicle behavior
- Coding experience with SQL to design and implement complex data pipelines following best practices
- Strong attention to detail
- Experience in the Autonomous Vehicle industry or a strong background in engineering or physics
Vacancy posted 5 days ago
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