Job Overview
Location
San Francisco, California, USA
Job Type
Full-time
Category
Data Analyst
Date Posted
February 24, 2026
Full Job Description
đź“‹ Description
- • Join Waymo, the world's most trusted driver, and contribute to shaping the future of mobility as a Business Intelligence Analyst within our dynamic Product Data Science team.
- • This role is pivotal in empowering Waymo's cross-functional teams—including Product Management, Engineering, and Operations—with the data-driven insights necessary to make informed decisions and drive the safe, efficient scaling of our autonomous driving technology.
- • You will be instrumental in defining and measuring business performance by partnering closely with stakeholders to identify key performance indicators (KPIs) and establish robust measurement frameworks.
- • A core responsibility will be the design, implementation, and maintenance of foundational data pipelines, ensuring data integrity, accessibility, and scalability to support Waymo's rapidly evolving needs.
- • You will translate complex data into actionable insights through the creation of compelling reports and visualizations, making sophisticated information digestible for a wide range of audiences.
- • Develop a profound understanding of Waymo's diverse metrics, datasets, and data sources, connecting them to the intricate business and operational context that spans our entire product landscape.
- • This involves delving into the nuances of our autonomous driving system, ride-hailing service, and the broader ecosystem in which Waymo operates.
- • Build and maintain state-of-the-art reporting infrastructure, creating reliable and efficient systems that enable continuous decision-making and strategic planning across the organization.
- • Proactively identify opportunities to enhance our data infrastructure and reporting capabilities, ensuring they remain at the forefront of industry best practices.
- • Conduct advanced analytical modeling when required, leveraging your expertise to uncover deeper insights and guide critical business decisions that impact Waymo's growth and operational excellence.
- • Drive a culture of data excellence within the Product Data Science team and beyond, actively contributing to the establishment and refinement of best practices in data analysis, interpretation, and application.
- • Champion data literacy and empower teams across Waymo to leverage data effectively in their day-to-day operations and strategic initiatives.
- • This role offers a unique opportunity to work on high-impact projects that directly influence the trajectory of autonomous driving technology, from enhancing driving quality and operational efficiency to analyzing market trends and optimizing rider satisfaction.
- • You will be at the intersection of cutting-edge technology and real-world application, contributing to a mission that aims to save lives and improve access to mobility.
- • The hybrid work schedule allows for a blend of in-office collaboration and remote flexibility, fostering a productive and balanced work environment.
- • You will report to the Manager of Product Data Science, working within a supportive and intellectually stimulating team environment.
- • Your work will directly contribute to Waymo's mission of becoming the world's most trusted driver by providing the analytical foundation for strategic product development and operational improvements.
- • This is a chance to be part of a pioneering company that is defining the future of transportation and making a tangible impact on society.
- • You will have the opportunity to collaborate with some of the brightest minds in AI, engineering, and product development, pushing the boundaries of what's possible.
- • The role requires a proactive and curious mindset, with a strong desire to learn and adapt quickly to new information and evolving challenges in a fast-paced industry.
- • Your analytical rigor and ability to translate complex data into clear, actionable recommendations will be key to your success and the success of the teams you support.
- • This position is based in either Mountain View, CA, or San Francisco, CA, offering the chance to work in the heart of innovation.
🎯 Requirements
- • 3+ years of experience in a related technical field (e.g., data analysis, business intelligence, data science) or equivalent practical experience.
- • Proven coding experience with Python and SQL, demonstrating the ability to design, implement, and maintain complex data pipelines following best practices.
- • Strong statistical knowledge and data intuition, with the ability to interpret data, identify trends, and draw meaningful conclusions.
- • Ability to scope, structure, and solve ambiguous problems independently, taking ownership from problem definition to solution delivery.
- • Experience interacting with and presenting findings to senior leadership.
- • Experience in the AV industry, Mapping, Ridesharing, Consumer Tech, or People Analytics is a plus.
🏖️ Benefits
- • Competitive salary range of $125,000 - $157,000 USD, commensurate with experience and location.
- • Eligibility for Waymo’s discretionary annual bonus program.
- • Participation in Waymo’s equity incentive plan, subject to eligibility requirements.
- • Comprehensive and generous Company benefits program, including health, dental, and vision insurance.
- • Opportunities for professional development and continuous learning in a rapidly evolving field.
- • Hybrid work schedule offering a balance between in-office collaboration and remote flexibility.
Skills & Technologies
Python
Remote
About Waymo LLC
Waymo LLC, originally Google's self-driving car project, develops autonomous driving technology and operates a commercial robotaxi service. The company creates hardware and software stacks for vehicles to navigate public roads without human input, using LiDAR, cameras, and machine learning. Waymo One offers rides to the public in Phoenix, San Francisco, and Los Angeles, while Waymo Via provides freight trucking services. Alphabet Inc. owns Waymo, which partners with automakers such as Jaguar Land Rover and Stellantis to integrate its Driver platform into production vehicles, aiming to improve road safety and expand mobility.
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