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Aurora Innovation Logo

Senior Data Analyst

Aurora Innovation

$101,000 - $162,000
Jun 10, 2025
Pittsburgh, PA, US
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The company is looking to improve the safety and commercialization of Autonomous Vehicle technology by leveraging vast amounts of data from internal and external sources.

Requirements

  • Advanced knowledge and experience using relational databases (SQL, PostgreSQL, etc.)
  • Intermediate knowledge of data analytics infrastructure, including data transformation tools such as DBT and visualization frameworks and tools
  • Competent in Python, able to write readable code that others can easily interpret
  • Experience using Amazon Web Services (AWS) tools (desirable)
  • Experience in the Autonomous Vehicles or other safety-critical systems industries (desirable)
  • Advanced degree (MS) in Statistics, Computer Science, Systems Engineering, or a related quantitative field (desirable)
  • Experience taking Data Analytics projects end-to-end

Responsibilities

  • Work with safety and engineering teams to provide data tools and insights to continually improve the safety of the Aurora Driver
  • Design and implement metrics and dashboards to help stakeholders measure, understand, and improve their safety performance
  • Collaborate with Data Scientists and Analysts on Data Science & Analytics problems spanning multiple subsystems
  • Collaborate with Data Science and Engineering communities to ensure the adoption of best practices and suggest improvements
  • Build data pipelines and adhere to high engineering rigor for safety-critical data products
  • Clearly present insights to both technical and non-technical audiences across stakeholders
  • Translate and cascade Executive input into work

Other

  • 3-4 years of experience as a Data Analyst, Data Scientist or similar technical role
  • Able to work effectively in a highly cross-functional, fast-moving and high-stakes environment
  • Proven ability to communicate technical, data-driven analysis to both technical and non-technical audiences across stakeholders
  • Advanced degree (MS) in Statistics, Computer Science, Systems Engineering, or a related quantitative field (desirable)
  • Commitment to inclusion and diversity