Staff Analytics Engineer, Self-Driving

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

About the Role:

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions, and operate comfortably in unknown areas. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Rivian’s Self-Driving Insights Team is responsible for the development of Advanced Driver Assistance Systems (ADAS) analytics. To that end, we are developing world-class analytics that will support improving fully autonomous self-driving for Rivian vehicles. We are seeking a Sr. Analytics Engineer who is detail oriented, data-driven problem solver with the technical ability to shed light on performance and productivity, among other critical aspects.

Responsibilities

Lead the design and develop secure, scalable, high-performance, and reliable (cost-effective) big data and analytics solutions that enable Tableau dashboards and reports for cross-functional teams and executives.
Examine key self-driving data by identifying, cleaning, and providing analysis and insights into vehicle and driver behavior.
Build dashboards, tools, and other data models for business groups to help visualize or monitor self-driving data. Providing ongoing data mining efforts to key in on trends and areas of continuous ADAS feature improvement.
Provide feature performance insights for senior management using ad-hoc analyses and dashboard visualizations.
Work across ADAS teams to develop analytic and reporting solutions, and ad-hoc analyses that provide insights based on their specific data and visualization requirements
Guide and train teams on the best practices for building state-of-the-art Tableau visualizations.

Qualifications

Experience with leading detailed data investigations and analyzing trends to answer business questions that lead to insights and actionable outcomes, including making recommendations to leadership on key analysis and findings.
Strong analytical and structured problem-solving capabilities, critical thinking, and problem-solving skills with a focus on root cause investigations using data and visualizations
Independent self-starter with meticulous attention to detail and strong organizational skills.
Experience leading in a dynamic and agile environment requiring high adaptability, management of multiple projects, excellent cross-functional communication, and presentation skills.
BS in Management Information Systems, Computer Science, Data Science, Data Analytics, or related fields.
7+ years’ experience creating complex dashboards and data stories using Tableau (Tableau certification as Specialist or Data Analyst is a plus)
5+ years’ SQL experience.
Experience with AWS, Databricks, and Python or similar technologies at a basic/comprehension level is required.
Knowledge of Tableau APIs in support of developing administration-related tools and operations.
Excellent communication and interpersonal skills, with the ability to break down complex technical problems into simple elegant visualization solutions understandable by non-technical business partners.

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