Similar Jobs
Who we are
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. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 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.
In this role, you will
- 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.
Required Qualifications
- 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.
Desirable Qualifications
- 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
The base salary range for this position is $115K-$170K per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
#LI-SP1
#Senior
Working at Aurora
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.
We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.
Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.
Our commitment to safety
At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.
Our commitment to inclusion
Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.
Aurora Mountain View, California, USA Office
280 N Bernardo Ave, Mountain View, CA, United States, 94043,
Aurora San Francisco, California, USA Office
85 Bluxome St, San Francisco, United States, 94107
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
