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Waymo

Senior Business Intelligence Analyst

Waymo is hiring a Senior Business Intelligence Analyst in Mountain View and San Francisco, United States. It pays $168k-$207k a year and Level rates it ; you can apply on Waymo.

Level's read on this job

  • On Level's scale, this data analyst role is Little AI ●○○○: aI is not part of the work.
  • Pay on this posting starts 47% higher than the typical data analyst posting on Level.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions SQL, Python and data analysis among its tools and skills.
  • Waymo has 365 other open roles on Level.

AI in this role

Mine and analyze large-scale autonomous vehicle data to evaluate driving scenarios and support Waymo's product releases.

SQLPython
data-analysisbusiness-intelligencedata-pipelinesstatistics

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

You have:

  • 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

We prefer:

  • Experience in the Autonomous Vehicle industry or a strong background in engineering or physics




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$168,000—$207,000 USD

How we rate this

Senior Business Intelligence Analyst at Waymo rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisBusiness IntelligenceData PipelinesStatisticsSQLPython

Also common in data analyst jobs at this level

Pay

This job starts at
$168k
Typical data analyst job
$114k

This posting starts 47% above the typical data analyst job. See data analyst jobs

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where business intelligence was part of your work. What did you do?
  3. Tell me about a project where data pipelines was part of your work. What did you do?
  4. Tell me about a project where statistics was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Business Intelligence, Data Pipelines, Statistics, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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