Copy of Copy of Associate Data Analyst, AV Performance Analysis

Position Overview

The Associate Data Analyst is a critical contributor within Global Operations, working at the intersection of data engineering and business analytics. You’ll design scalable data models, build production-ready pipelines, and develop self-service analytics that enable fast, informed decision-making across the organization. You’ll partner closely with AV test, systems, safety, and software teams to ensure data is not just accurate, but actionable. Your insights directly influence operational execution, testing efficiency, and the performance of our autonomous vehicle technology—providing operational leadership and executives with a clear view into the analytical performance of our self-driving product.

Key Responsibilities

• Primarily responsible for querying, analyzing, auditing, and presenting data reports on a variety of AV performance metrics to support AV Testing, Global Operations, and the executive leadership group.
• Support metrics storytelling, dashboard creation, and performance deep dives—translating complex trends into executive-ready insights.
• Develop and maintain clean, production-ready datasets that power reporting in Looker, Redash, and other visualization tools.
• Design and implement scalable data pipelines using tools like dbt, Python, and AWS to ingest, transform, and structure AV operational data.
• Apply best practices in data modeling, testing, version control, and documentation to ensure reproducibility and scalability.
• Perform comprehensive quality assurance to ensure that data meet specifications and reports remain accurate and reliable amidst process and tool changes.
• Partner with Operations and Testing stakeholders to maintain a rapid and iterative feedback loop for metrics creation and monitoring.
• Proactively communicate insights and contribute to leadership reviews and team presentations.
• Collaborate with colleagues across different time zones and countries, occasionally requiring non-standard working hours.
• Show initiative and be a valued team member in an innovative, fast-paced, entrepreneurial environment where cooperative teamwork is the norm.
• Perform other duties as assigned, including travel to other Motional sites.

Required Qualifications

• Bachelor's or higher degree in a quantitative field (Engineering, Mathematics, Economics, or equivalent practical experience).
• 2+ years of experience in analytics engineering, data analytics, data science, or a similar technical role.
• Proficient in SQL.
• Demonstrated problem solving skills with exemplary attention to detail.
• Strong troubleshooting, debugging, and creative problem solving skills.

Preferred Qualifications

• Advanced SQL skills with the ability to write optimized and maintainable queries.
• Experience with business intelligence methodologies and a strong understanding of statistics.
• Entry to moderate level experience with Linux and scripting languages (e.g., Bash/Shell, Python).
• Familiarity with software engineering concepts including requirements analysis, source control, build processes, and design reviews.
• Experience using issue tracking and configuration management tools (e.g., Atlassian Confluence, Jira, Bitbucket, Git).
• Familiarity with Jira or similar issue tracking systems.

Benefits & Perks

• Compensation: Salary Range: $68,000—$86,000 USD. Additional forms of compensation such as bonuses or company equity may be applicable.
• Participation in Motional’s benefits program, which includes medical, dental, vision, 401k with company match, health saving accounts, life insurance, pet insurance, and more.