About the Team
Avride is at the forefront of autonomous mobility, developing and deploying cutting-edge self-driving cars and delivery robots. We're building the future of transportation and logistics, and our Data Analysts are crucial in making that vision a reality. Our product and operations teams are organized around two distinct areas: self-driving cars and delivery robots. While each area has unique challenges and datasets, we emphasize a unified approach to data analysis, ensuring consistent methodologies and shared insights across both platforms. The primary goals of these teams are to optimize our fleet operations, reduce operational costs, and ensure a seamless and efficient experience for our customers, whether they're receiving a delivery or riding in one of our autonomous vehicles.
About the Role
As a Data Analyst at Avride, you'll directly impact the efficiency and development of our autonomous systems. You'll build data pipelines, craft insightful visualizations, and perform in-depth analyses to optimize our self-driving operations, focusing on locations specifics, costs, and product development.
What You'll Do
- Analyze self-driving car and robot operations and product data to identify trends and provide insights for product development.
- Construct and maintain efficient data pipelines using Python for ETL processes.
- Write and optimize complex SQL queries for ClickHouse, our columnar database.
- Develop interactive dashboards and visualizations using BI tools to communicate key findings.
- Conduct statistical and financial analysis to support strategic decisions. Conduct cost analysis to identify areas for operational improvement and cost reduction.
- Generate comprehensive reports and presentations to convey data insights.
- Collaborate with engineering and product teams to translate data into actionable improvements.
What You'll Need
- Bachelor's degree in a quantitative field (Computer Science, Statistics, Economics, etc.).
- Demonstrated experience in data analysis, preferably in a tech or automotive setting.
- Advanced Python skills for data manipulation (Pandas, NumPy).
- Expertise in SQL, with experience optimizing queries for ClickHouse.
- Experience in BI and data visualization tools. Ability to translate complex datasets into clear, actionable insights.
- Solid understanding of statistical analysis principles.
- Experience with version control (Git), testing frameworks, and writing clean, maintainable code.
Nice to Have
- Experience with geospatial data analysis and visualization.
- Experience in cost analysis and financial modeling.
- Experience with HTTP APIs (Python Requests).
- Practical experience using LLMs to accelerate data analysis and engineering.
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
