Analyze vehicle data and extract useful statistics/insights that drive actionable recommendations to improve product performance/quality and customer experience
Write efficient SQL/Python code and complex queries across extensive data set
Build effective models to fuel analytical frameworks that drive material product improvements in hardware optimization, controls, and vehicle diagnostics
Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports
Automate analyses and author pipelines using SQL, Python, and Airflow based ETL framework
What You’ll Bring
Bachelor's Degree in Mechanical Engineering, Computer Science, Math, Statistics or related field or equivalent experience
Prior internship/work experience in data analytics or related field
Proven proficiency in SQL and Python for writing efficient queries, data manipulation, and analysis
Working knowledge of data visualization techniques and tools using Matplotlib, Seaborn, etc.
Experience working with time-series sensors data to perform robust engineering analyses
Good organizational skills and an ability to prioritize and manage multiple projects simultaneously to meet deadline
Demonstrated ability to take on projects with a sense of ownership and entrepreneurial mindset