Autonomous Vehicle Data & Quality Analyst

Duration and Location

• Duration: 12 Months
• Work Location: Fully Remote (Must be available to work PST hours)
• Schedule: Mon-Fri, 8 AM - 5 PM PST (On-call rotation: 3 PM - 6 PM PST every 4 weeks)

Role Overview

We are seeking a Sr. Autonomous Vehicle Data & Quality Analyst to join our team. This role focuses on ensuring high-quality data analysis and process management within an autonomous vehicle testing environment. You will work closely with offshore teams, requiring strong communication, collaboration, and a proactive "can-do" attitude.

Key Skills and Qualifications

• Technical Skills: Working knowledge of Python (required), SQL/BigQuery (nice to have), Linux/command line, Git, and YAML.
• Analytical Skills: Ability to conduct quantitative and qualitative analyses, problem-solving (system thinking), and experience running quality processes.
• Communication: Excellent written and verbal communication skills; fluent in English.
• Soft Skills: Collaborative, detail-oriented, organized, and culturally respectful.
• Experience: At least 3 years of relevant experience. Experience in AV performance, testing, or labeling is preferred.
• Education: High School Diploma required; Bachelor's Degree is a plus.

Responsibilities

Test Creation and Quality Assurance

• Oversee day-to-day test creation activities.
• Review test YAML files, outputs, and Python test codes for quality assurance.
• Conduct daily training and review calls with the test creation team.

Pipeline Management

• Oversee general data ingestion and mitigate/escalate issues.
• Create and maintain SQL queries and dashboards to surface actionable insights.
• Identify and document edge cases to improve engineering systems and policies.

Training and Continuous Learning

• Identify training opportunities and address knowledge gaps.
• Adapt to changes in instructions, processes, and team design.
• Consolidate technical support issues and provide ad-hoc training support.

Reporting and KPIs

• Oversee, investigate, and report weekly KPIs (throughput, quality, etc.).
• Monitor trends and outliers to create Preventive and Corrective Action Plans (CAPA).
• Perform ad-hoc projects as needed.

Preferred Tools

• Jira, Confluence, Slack, Microsoft Suite, and Google Suite.