Senior Data Analyst

Aurora•Mountain View, CA

4d•Hybrid

About The Position

Aurora’s Data Solutions team generates insights and intelligence to improve the Aurora Driver and accelerate safe, broad commercialization of autonomous vehicle technology. The Senior Data Analyst will help advance Aurora Driver development by automating, monitoring, and analyzing development and operational processes, using data from both on-road and simulation testing. The role develops reporting and analytics to optimize the value of data collected from Aurora’s growing truck fleet. It works closely with data scientists, Software leadership, and Software teams to assess and prioritize data sourcing, create metrics and dashboards, and improve development processes and performance. The analyst also collaborates with the wider Data Science & Analytics community to influence Aurora’s analytics tooling ecosystem. Aurora expects employees to work from the office at least three days per week. Some roles may require in-office presence up to five days per week based on operational needs. The successful candidate is eligible for an annual bonus, equity compensation, and benefits.

Requirements

At least 3 years of experience as a Data Analyst, Data Scientist, Data Engineer, or in a similar technical role.
Experience taking data analytics projects end to end, including synthesizing business needs, building data pipelines, applying high engineering rigor to safety-critical data products, and clearly communicating insights.
Ability to systematically approach open-ended questions and identify pragmatic, scalable data solutions.
Advanced knowledge and experience with relational databases such as SQL and PostgreSQL, and familiarity with data engineering best practices.
Intermediate knowledge of data analytics infrastructure, including data transformation tools such as DBT and visualization frameworks and tools.
Competence in Python and ability to write readable code that others can interpret and build on.
Ability to work effectively in a highly cross-functional, fast-moving, high-stakes environment.
Proven ability to communicate technical, data-driven analysis to technical and non-technical stakeholders, including translating and cascading executive input into work.

Nice To Haves

Advanced degree (MS) in Statistics, Computer Science, Operations Research, or a related quantitative field.
Experience with data science workflows such as classification and clustering.
Experience in autonomous vehicles, robotics, or advanced transportation.
Experience using Amazon Web Services (AWS) tools.

Responsibilities

Develop reporting and analytics to optimize the value of data collected from Aurora’s growing truck fleet.
Work with data scientist teammates and cross-functional Software leadership to assess and prioritize data sourcing efforts.
Partner with Software teams to design and implement metrics and dashboards that accelerate development processes and help teams measure, understand, and improve performance.
Collaborate with the larger Data Science & Analytics community to influence Aurora’s tooling ecosystem in support of data analytics work streams.
Automate, monitor, and analyze development and operational processes using data from on-road and simulation testing.