Senior Data Analyst, Commercial & Operations

Aurora Innovation Aurora Innovation · Robotics · Mountain View, CA · Data Science

This role focuses on developing data tools and insights to support the commercialization and operation of a self-driving product. The Senior Data Analyst will automate monitoring and analysis of on-road performance and operational efficiency, partnering with various teams to design metrics and dashboards. The role requires strong SQL, Python, and data pipeline experience, with a focus on data analytics infrastructure and best practices.

What you'd actually do

  1. 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.
  2. Partner closely with those stakeholders to design and implement metrics and dashboards to help them measure, understand, and improve decision making, performance, and efficiency.
  3. Collaborate with a team of world-class Data Scientists and Analysts on problems spanning commercialization, operations, safety, hardware, and software.
  4. Collaborate with our Data Science & Analytics and Engineering communities to ensure the adoption of best practices and suggest improvements.

Skills

Required

  • 3-6 years of experience as a Data Analyst, Data Scientist, or similar technical role.
  • Advanced proficiency with relational databases (SQL, PostgreSQL, etc.) and knowledge of Data Engineering best practices.
  • 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
  • Intermediate knowledge of data analytics infrastructure, including experience with data transformation tools like DBT and various visualization frameworks/tools.

What the JD emphasized

  • Proven experience taking Data Analytics projects end-to-end, from synthesizing business needs to building and maintaining data pipelines.