Motional is looking to solve the problem of enabling fast, informed decision-making across the organization by providing accurate and actionable data insights. This role will directly influence operational execution, testing efficiency, and the performance of their autonomous vehicle technology, giving operational leadership and executives a clear view into the analytical performance of their self-driving product.
Requirements
- 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.
- 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)
Responsibilities
- Querying, analyzing, auditing, and presenting data reports on a variety of AV performance metrics to support AV Testing, Global Operations and executive leadership group.
- 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.
- Be the primary owner of operational metrics storytelling, dashboard creation, and performance deep dives, translating complex trends into executive-ready insights.
- Partner with Operations and Testing stakeholders to maintain a rapid and iterative feedback loop for metrics creation and monitoring.
Other
- 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.
- 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.
- Show initiative and be a valued team member in our innovative, fast-paced, entrepreneurial environment where cooperative teamwork across locations is the norm.
