Data Analyst, AV Analysis

Data Analyst, AV Performance Analysis job nsylvania.

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 will 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.

• Querying, analyzing, auditing, and presenting data reports on a variety of AV performance metrics to support AV Testing, Global Operations and executive leadership group.
• Be the primary owner of operational metrics storytelling, dashboard creation, and performance deep dives, translating complex trends into executive‑ready insights.
• Develop and own 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, ensuring that data meet specifications and reports remain accurate and reliable even in the face of 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, which may require additional and/or non‑standard working hours during any given week to work on projects or attend required meetings.
• Regularly communicate insights and lead portions of leadership reviews and team presentations.
• Show initiative and be a valued team member in our innovative, fast‑paced, entrepreneurial environment where cooperative teamwork across locations is the norm.
• Other duties as assigned including travel to other Motional sites

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The requirements listed below are representative of knowledge, skill and/or ability required.

• Bachelor’s or higher degree in a quantitative field — including but not limited to Engineering, Mathematics, Economics, or equivalent knowledge and work experience.
• 2+ years of experience working in analytics engineering, data analytics, data science, or a similar technical role.
• Demonstrated problem solving skills and exemplary attention to detail.
• Strong troubleshooting, debugging, and creative problem solving skills.
• Proficiency in Python, R, or a similar programming language for data analysis.
• Experience performing exploratory data analysis (EDA), data cleaning, and basic data exploration to identify patterns, anomalies, and insights.

• Experience with business intelligence methodologies and a strong understanding of statistics.
• Intermediate level experience with Linux and scripting languages (E.g: Bash/Shell, Python).
• Intermediate level experience with software engineering concepts, including requirements analysis, source control, build processes, 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)

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or…