Senior Business Analyst at Aurora Innovation

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Jun, 26

Salary

178000.0

Posted On

26 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Analytics, Data Analysis, SQL, Python, Data Visualization, Mode, Looker, Tableau, Analytical Skills, Problem-Solving, Data-Driven Decision-Making, Experimentation, Data Modeling, Data Pipelines, Geospatial Datasets, A/B Testing

Industry

Software Development

Description

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. We’re looking for a Senior Business Analyst to join our Mapping Operations team. This role will partner closely with Program Management, Operations, and Engineering teams to enable better data-driven decision-making across workflows and systems. The ideal candidate combines strong analytical and technical skills with the ability to translate complex data into actionable insights. You will identify trends, measure operational and system performance, and provide recommendations that improve efficiency, quality, and scalability. In this role, you will: Analyze large datasets to identify trends, performance gaps, and improvement opportunities Develop dashboards and reporting frameworks that provide clear visibility into operational health and system performance Translate analytical findings into actionable recommendations for leadership and domain owners Partner with domain owners to evaluate impact of process and system changes through data analysis and experimentation Identify root-causes of operational inefficiencies and propose data-driven solutions Build scalable reporting pipelines to support recurring operational review and decision-making Collaborate with engineering to ensure database structure and data availability continues to enable scalable tracking of operational and system performance metrics Required Qualifications: 5+ years of experience in business analytics or data analysis Strong analytical and problem-solving skills with experience working with large datasets Proficiency in SQL, Python, and data visualization tools (e.g. Mode, Looker, Tableau, etc.) Ability to translate complex data into clear insights and recommendations Experience working cross-functionally with Operations, Program Management, and Engineering teams Desirable Qualifications: Experience working in mapping, ML data annotations, autonomous vehicle, or large-scale operations environments Familiar with geospatial datasets or mapping workflows Experience with experiment design, A/B testing, or performance measurement frameworks Knowledge of data modeling or data pipeline concepts The base salary range for this position is $111,000 - $178,000 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-Mid 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 careersiteaccommodations@aurora.tech. 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.

Responsibilities

This role involves analyzing large datasets to identify trends, measure performance, and develop dashboards and reporting frameworks to provide clear visibility into operational health. The analyst will translate findings into actionable recommendations and partner with domain owners to evaluate changes through data analysis and experimentation.