Analytics Engineer, Thermal & Chassis, Semi

$80,000 - $258,000/Yr

Tesla - Palo Alto, CA

Full-time - Entry Level

Palo Alto, CA

5,001-10,000 employees

Transportation Equipment Manufacturing

About the position

The Analytics Engineer for Thermal & Chassis at Tesla plays a crucial role in analyzing vehicle data to drive product improvements and enhance customer experience. This position involves collaboration with a multi-disciplinary team to develop and optimize engineering systems, utilizing data analytics to inform decision-making and improve product performance. The role requires proficiency in SQL and Python, as well as experience in data visualization and working with large datasets.

Responsibilities

• 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 sets.
• 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.

Requirements

• Bachelor's Degree in Mechanical Engineering, 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.
• Demonstrated ability to take on projects with a sense of ownership and entrepreneurial mindset.
• Experience with distributed computing (Spark /Hive/Hadoop).
• First principles understanding of mechanical engineering concepts with relevant project/research experience.

Nice-to-haves

• Experience creating data products and dashboards in Tableau, R Shiny, or D3.
• Experience building machine learning models with demonstrated impact.

Benefits

• 401(k) matching
• AD&D insurance
• Benefits from day one
• Commuter assistance
• Dental insurance
• Disability insurance
• Employee assistance program
• Aetna PPO and HSA plans
• Family-building, fertility, adoption and surrogacy benefits
• Vision plans
• Company Paid HSA Contribution
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• LGBTQ+ care concierge services
• Employee Stock Purchase Plans
• Company paid Basic Life, AD&D, short-term and long-term disability insurance
• Sick and Vacation time
• Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Employee discounts and perks program