Reliability Data Analyst, Semi
Apply NowCompany: Tesla, Inc
Location: Fremont, CA 94536
Description:
We are looking for a Reliability Data Analyst, Semi with experience in physical engineering disciplines (mechanical, electrical, materials) to tackle projects in modeling the reliability of our Tesla Semi and technologies in the real-world. As a successful candidate, you will leverage your experience in big data analytics to wrangle test and field data.
This role is highly engaging, and you will be working on one of our most exciting products. You will create data pipelines and build interactive visualizations to support cross-functional teams and drive key decisions related to one of our most exciting products.
Responsibilities
Requirements
Compensation and Benefits
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
This role is highly engaging, and you will be working on one of our most exciting products. You will create data pipelines and build interactive visualizations to support cross-functional teams and drive key decisions related to one of our most exciting products.
Responsibilities
- Access and rapidly execute analyses of large datasets through developing customized code and scripting in Python or other programming languages
- Own the construction and management of data workflows and aggregations to support reporting on live data connections
- Build dashboards and other visualizations for effectively communicating analyses to cross-functional teams
- Develop custom tools and UIs for automatic reporting by connecting and maintaining JIRA backend
- Proactively improve and maintain projects based on feedback from the broader engineering team and integration with Data Science, Design, and Test organizations
Requirements
- Degree in Computer Science, Engineering, or equivalent experience
- 2+ years of experience working with data manipulation in Pandas and Pyspark, including deploying efficient queries in a distributed computing environment
- Demonstrated proficiency with SQL and Python
- Strong Data Pipelining experience (ETL, Airflow, Spark Data Analyses)
- Experience in building interactive visualizations and dashboards using Matplotlib, Seaborn, Bokeh, Tableau, Power BI, or similar visualization tools
- Basic understanding of statistics and mathematical models
- Excellent teamwork/interpersonal skills with demonstrated ability to collaborate and communicate with multiple engineering disciplines
- Ability to support multiple on-going projects in a fast-paced environment.
- Remain engaged, proactive, and positive in tough circumstances. Able to adjust priorities on short notice to meet deadlines
- Knowledge of physics and engineering principles
Compensation and Benefits
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- LGBTQ+ care concierge services
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
- Expected Compensation$80,000 - $258,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.