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60 Waymo Data Analyst Jobs Hiring Near You

Waymo

Senior Data Engineer

Mountain View, CA · On-site

$251K - $310K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... complex analytical queries and reporting * Deep knowledge of relational and NoSQL databases

Waymo

Insurance Risk Management Analyst

Mountain View, CA · On-site

$125K - $152K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Lead the collection, compilation, and validation of underwriting data for insurance renewals across ...

Waymo

Staff Field Quality Engineer

Mountain View, CA · On-site

$210K - $259K/yr

Analyze fleet data to proactively identify emerging quality trends and systemic risks. * Lead cross ... Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program ...

Waymo

Senior FP&A Analyst - Supply Chain

Mountain View, CA · On-site

$168K - $207K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Expert-level proficiency in financial modeling and the ability to find "the story" within the data

Waymo

Senior Analyst - Deals Finance

Mountain View, CA · On-site

$168K - $207K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Develop data-driven recommendations and prepare presentations that translate multi-dimensional ...

Waymo

Senior Data Engineer

Mountain View, CA

$125K - $169K/yr

Define core data concepts for Waymo commercialization and implement models in the database ... complex analytical queries and reporting * Deep knowledge of relational and NoSQL databases

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Waymo Jobs Information

What is it like to work at Waymo?

Waymo is a technology company that values innovation, collaboration, and safety, fostering an environment where employees can work together to develop and implement autonomous driving solutions.

The company's structure is organized into various teams, including software engineering, hardware development, and operations, allowing employees to specialize in their areas of expertise and contribute to the development of self-driving cars. Waymo's work environment is designed to encourage creativity and experimentation, with access to cutting-edge technology and resources.

Working at Waymo may appeal to individuals who are passionate about transforming the transportation industry and have a strong interest in artificial intelligence, machine learning, and software development, as the company offers opportunities to work on complex technical challenges and make a meaningful impact on society.

What makes Waymo an attractive place to work?

Waymo is a leading autonomous driving technology company, a subsidiary of Alphabet Inc., and a pioneer in the development of self-driving cars. The company's workplace is characterized by a culture of innovation, collaboration, and experimentation, with opportunities for engineers and researchers to work on cutting-edge projects and contribute to the advancement of autonomous driving technology. Joining Waymo offers the chance to be part of a team that is shaping the future of transportation and mobility, with opportunities for professional growth, learning, and making a meaningful impact on society.

What other companies are hiring for Data Analyst jobs?

What are the most popular jobs at Waymo?

What are the most popular categories at Waymo?

Infographic showing various Data Analyst job openings at Waymo in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% Physical, 25% Hybrid, and 3% Remote job distribution.

Staff Product Data Scientist, Paid Media

Waymo

San Diego, CA

Full-time

Re-posted 22 days ago

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, Growth and Experience.

You will:

  • Connect marketing performance to real business outcomes by building ROI methodologies and efficiency guardrails that leadership can act on
  • Own optimization across the full acquisition picture - brand media, performance channels, promotions, and referrals - not just the parts with clean attribution
  • Design and run Waymo's incrementality measurement program, including geo-based holdout tests, switchback experiments, and media mix modeling across every acquisition channel
  • Build Waymo's LTV and CAC framework and use it to guide how marketing spend gets allocated
  • Be the data science partner marketing and product  leans on for measurement and experimentation
  • Lead deep-dive analyses across geos, audiences, creatives, and channels to find the non-obvious growth levers nobody's looked for yet

You have:

  • At least 8 years of industry experience, with a strong focus on growth marketing, including time spent owning measurement strategy, not just executing it
  • A track record of working directly with marketing leadership as a trusted partner
  • Proficiency in SQL and Python or R for data manipulation, statistical modeling, and experiment analysis
  • Hands-on experience designing and analyzing incrementality experiments - geo holdout tests, switchback designs, or intent-to-treat analyses - in a consumer tech, marketplace, or rideshare context
  • Strong causal inference fundamentals - you know how to design studies that produce actionable, credible results

We prefer:

  • Time at a high-growth consumer tech, rideshare, or mobility company
  • Experience with media mix modeling (MMM) or multi-touch attribution (MTA) in addition to geo-based incrementality testing
  • Experience building LTV and CAC frameworks and using them to guide real spend decisions
  • Experience with mobile measurement partners (MMP)
  • Familiarity with paid media platforms and channel dynamics (SEM, paid social, programmatic)

Apply