Data Analyst – Autonomous Systems What You’ll Be Doing:
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Analyze operational and product data from self-driving vehicles and robotics systems to uncover trends and generate insights that inform product strategy and development.
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Design, build, and maintain robust data pipelines in Python to support scalable ETL workflows.
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Write and optimize advanced SQL queries, particularly for ClickHouse (our columnar database of choice).
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Create interactive dashboards and compelling visualizations using BI tools to clearly communicate insights to stakeholders.
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Perform in-depth statistical and financial analyses to guide strategic decisions, including cost analysis to pinpoint opportunities for efficiency and cost savings.
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Develop clear, well-structured reports and presentations that distill complex data into actionable insights.
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Partner closely with engineering and product teams to turn analytical findings into impactful product and operational improvements.
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A Bachelor’s degree in a quantitative discipline such as Computer Science, Statistics, Economics, or a related field.
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Proven experience in data analysis—experience in the tech, robotics, or automotive industries is a plus.
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Strong proficiency in Python, particularly with data libraries like Pandas and NumPy.
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Expertise in SQL, including performance tuning and experience working with ClickHouse or similar columnar databases.
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Skilled in using BI and data visualization tools to translate data into meaningful stories and business recommendations.
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Solid foundation in statistical analysis and data-driven decision making.
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Familiarity with version control (Git), testing best practices, and writing clean, maintainable, production-ready code.
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Hands-on experience with geospatial data analysis and mapping tools.
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Background in cost modeling, budgeting, or financial analysis.
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Experience working with HTTP APIs using tools like Python Requests.
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Familiarity with large language models (LLMs) and how they can be used to accelerate data analysis and engineering tasks.
