Senior Business Intelligence Analyst at WAYMO LLC

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

200000.0

Posted On

09 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Intelligence, Data Pipelines, Python, SQL, Statistical Knowledge, Analytical Modelling, Data Visualization, Problem Solving, Collaboration, Data-Driven Decision Making, Operational Efficiency, Market Analysis, Rider Satisfaction, Best Practices, Cross-Functional Collaboration, Technical Field Experience

Industry

technology;Information and Internet

Description

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. In this hybrid role, you will report to a Product Data Science Lead. You will: Partner with Product Managers, Engineers, Program Managers to identify the right measurement for business performance, design and implement foundational data pipelines, and build the right reports and visualizations to drive insights. Develop deep understanding of various metrics, datasets, and data sources in relation to the rich business and operational context across the entire product landscape. Build and maintain state of the art reporting infrastructure to enable continuous decision making Perform advanced analytical modelling as necessary to help drive the right decisions. Drive a culture of excellence and help establish best practices within the broader data science team. You have: 5+ years of experience in a related technical field or equivalent practical experience Ability to scope, structure, and solve ambiguous problems independently Coding experience with Python and SQL to design and implement complex data pipelines following best practices Statistical knowledge/data intuition Experience interacting with senior leadership We prefer: Experience in the AV industry / Mapping / Ridesharing / Consumer Tech / People Analytics The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $158,000—$200,000 USD

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Responsibilities

You will partner with various teams to identify key performance metrics and build data pipelines and reports. Additionally, you will develop a deep understanding of metrics and datasets to support decision-making across the product landscape.