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Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. The Aurora Data Solutions team generates insights to improve the Aurora Driver. We seek an exceptional Data Analyst to automate monitoring and analysis of the Aurora Driver’s on-road performance and operational efficiency. This role leverages vast data to help achieve product and commercialization goals. The ideal candidate thrives cross-functionally and navigates complex projects with Business Development, Operations, Product, Software, and Strategy teams. If you are passionate about cutting-edge Data Analytics for impactful tools and workflows that transform transportation, join the Aurora Data Solutions team.
Job Responsibility:
Develop data tools and insights to drive the development and operation of a commercially viable product, with a focus on our on-road performance and commercial/operational goals
Partner closely with those stakeholders to design and implement metrics and dashboards to help them measure, understand, and improve decision making, performance, and efficiency
Collaborate with a team of world-class Data Scientists and Analysts on problems spanning commercialization, operations, safety, hardware, and software
Collaborate with our Data Science & Analytics and Engineering communities to ensure the adoption of best practices and suggest improvements
Requirements:
3-6 years of experience as a Data Analyst, Data Scientist, or similar technical role
Proven experience taking Data Analytics projects end-to-end, from synthesizing business needs to building and maintaining data pipelines
Advanced proficiency with relational databases (SQL, PostgreSQL, etc.) and knowledge of Data Engineering best practices
Intermediate knowledge of data analytics infrastructure, including experience with data transformation tools like DBT and various visualization frameworks/tools
Competency in Python, demonstrated by the ability to write readable, maintainable, and easily interpretable code
Demonstrated ability to work effectively and collaboratively in a highly cross-functional, fast-moving, and high-stakes environment
Excellent communication skills with a proven ability to translate and cascade executive input into actionable, data-driven technical analysis for both technical and non-technical stakeholders
Nice to have:
Advanced degree (MS) in Statistics, Computer Science, Operations Research, Economics, or a related quantitative field
Experience using Amazon Web Services (AWS) tools
Experience using data-modeling business intelligence tools such as Tableau, Looker, etc.
Experience presenting your work to Executive teams & interfacing with varied stakeholders
Experience in the Autonomous Vehicle, Robotics, or Advanced Transportation domains
Exposure to Logistics, Fleet Operations, Network Planning, or Optimization problems