Aurora is looking to solve the problem of delivering the benefits of self-driving technology safely, quickly, and broadly, and the Data Analyst role will support this mission by generating insights and intelligence to improve the Aurora Driver and accelerate its commercialization.
Requirements
- 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.
- Experience using Amazon Web Services (AWS) tools
- Experience using data-modeling business intelligence tools such as Holistics, Looker, etc.
- Experience presenting your work to Executive teams & interfacing with Product teams
- Experience in the Autonomous Vehicles or other safety-critical systems industries
Responsibilities
- Develop and present executive-level reports and dashboards with clear, actionable insights that drive strategic decision-making.
- Develop and manage external-facing data reports for customers, partners, and regulatory bodies, ensuring accuracy and compliance.
- Communicate data and insights in visually impactful and compelling ways to effectively communicate analysis, trends, risks and opportunities.
- Partner closely with stakeholders to design and implement metrics and dashboards to help them measure, understand, and improve their teams and performance needs
- Be a key driver in translating data findings into business recommendations and measurable outcomes across the organization.
- Collaborate with a team of world-class Data Scientists, Analysts, and Engineers on Data Science & Analytics problems spanning our Developmental and Commercial areas.
- Collaborate with our Data Science & Analytics and Engineering communities to ensure the adoption of best practices and suggest improvements
Other
- 2-4 years of experience as a Data Analyst, Data Scientist, or similar technical role.
- 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.
- Advanced degree (MS) in Statistics, Computer Science, Systems Engineering, or a related quantitative field
- Travel requirements not specified
