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Autonomous Driving Data Analyst Jobs (NOW HIRING)

360 IT Professionals

DATA ANALYST

Dallas, TX · On-site

Data Analyst will be responsible for driving data driven insights from operational data (booked, flown, contract and sales team metrics from Salesforce, Customer data including segmentation and other ...

WeRide.ai

New Grads 2026 - Data Engineer

San Jose, CA

$120K - $165K/yr

Aggregate and analyze autonomous driving test data, perform deep-dive investigations into the causes of data variations, and identify system issues through data analysis. * Take responsibility for ...

WeRide.ai

New Grads 2026 - Data Engineer

San Jose, CA · On-site

$120K - $165K/yr

Aggregate and analyze autonomous driving test data, perform deep-dive investigations into the causes of data variations, and identify system issues through data analysis. * Take responsibility for ...

WeRide.ai

New Grads 2026 - Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Aggregate and analyze autonomous driving test data, perform deep-dive investigations into the causes of data variations, and identify system issues through data analysis. * Take responsibility for ...

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Autonomous Driving Data Analyst information

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$34K

$82.6K

$136K

How much do autonomous driving data analyst jobs pay per year?

As of Jun 6, 2026, the average yearly pay for autonomous driving data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by an Autonomous Driving Data Analyst when working with real-world driving datasets?

One of the main challenges for Autonomous Driving Data Analysts is dealing with the sheer volume and complexity of sensor data collected from vehicles, such as lidar, camera, and radar feeds. Ensuring data quality and labeling accuracy is critical, as errors can significantly impact model training and performance. Analysts also need to collaborate closely with engineering and machine learning teams to interpret data insights and address anomalies or edge cases that arise in varied driving environments. Effective communication and problem-solving skills are essential for translating raw data into actionable improvements for autonomous systems.

What does an Autonomous Driving Data Analyst do?

An Autonomous Driving Data Analyst is responsible for collecting, processing, and interpreting large amounts of data generated by autonomous vehicles. They analyze sensor data, driving scenarios, and vehicle performance to identify trends, detect issues, and suggest improvements for self-driving systems. Their work helps ensure the safety, reliability, and efficiency of autonomous driving technologies by providing actionable insights to engineering and development teams.

What are the key skills and qualifications needed to thrive as an Autonomous Driving Data Analyst, and why are they important?

To thrive as an Autonomous Driving Data Analyst, you need strong analytical skills, proficiency in data science and machine learning, and a background in computer science, engineering, or a related field. Familiarity with tools like Python, SQL, TensorFlow, and automotive data platforms, as well as experience with big data systems, is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data insights, contribute to the development of reliable autonomous systems, and support innovation in a rapidly evolving industry.
Infographic showing various Autonomous Driving Data Analyst job openings in the United States as of May 2026, with employment types broken down into 4% Internship, 19% As Needed, 61% Full Time, 4% Part Time, 8% Temporary, and 4% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Business Intelligence Analyst / Data Analyst (SQL)

Business Intelligence Analyst / Data Analyst (SQL)

Waymo

Mountain View, CA • On-site, Remote

$168K - $207K/yr

Other

Posted 27 days ago

Job 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 Data Science team is an important part of our mission to develop safe and reliable autonomous driving technology. We use data analysis and leverage statistical expertise to evaluate and improve the Waymo Driver, focusing on areas like reliability, driving quality, and safety. Our work ensures that data-driven insights inform key aspects of Waymo's development process. As a Business Intelligence Analyst, you will help build the data infrastructure behind reporting and analytics for some core pillars supported by the Waymo Data Science team.

You will:

  • As a Data Analyst, you will leverage advanced SQL and Business Intelligence tools to build state-of-the-art reporting infrastructure (data pipelines, dashboards) to ensure decision making within one of:
    • Waymo Driving Quality
    • Waymo Safety
    • Waymo Reliability
  • Write high quality data pipelines with clear definitions to ensure consistency of metrics across the company
  • Design, define, and govern key performance indicators (KPIs) and core metrics
  • Work with Data Science, Engineering, Operations, Product, and Regulatory teams to allow accurate reporting to several audiences
  • Prepare content and communicate to Waymo leadership
  • Run deep analyses into data trends observed to drive partner team goals

You have:

  • 4+ years of experience in a Data Analyst, Business Intelligence Analyst, or similar quantitative role within a tech-forward environment.
  • Advanced SQL proficiency - you are an expert at writing high-performance queries, including window functions, UDFs, and complex joins to manipulate large-scale datasets.
  • Data Engineering mindset - experience managing and querying extremely large datasets (BigQuery, Redshift, or similar) and building scalable data pipelines.

We prefer:

  • Data Visualization & Storytelling - a proven track record of building intuitive, "executive-ready" dashboards in modern BI tools (e.g., Tableau, Looker, or Data Studio).
  • Infrastructure Management - expertise in building and maintaining data infrastructure for large organizations, ensuring a clean separation between development and production environments.
  • Stakeholder Influence - the ability to translate complex data trends into actionable insights for Engineering, Product, and Leadership teams.
  • Proactive Problem Solving - demonstrates the initiative and foresight to identify business needs before they become critical bottlenecks.

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

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