Service Logistics Systems

What to Expect

As a Data Analyst on Tesla's logistics team, you will be responsible for accessing, modeling, and visualizing data as a thought partner to the logistics team. You will work with the planning team and stakeholders in other organizations to identify key process and systems improvements required for scalability and efficiency. The role is expected to simultaneously handle multiple projects of department-level scale and global reach.

To be a successful candidate for this role you have to be a self-motivated, driven individual who is comfortable working in a fast-paced environment.

• Experience or capacity to build models, query data across multiple SQL databases, and conduct rigorous quantitative analysis
• Generate data visualizations based on requirements from different stakeholders, including operations, finance, and other non-logistics business units
• Work closely with operations team members to define, measure and track key performance indicators, measuring operational performance and outcomes
• Conduct research and data collection as part of ad hoc analysis requests, enabling business and operations units to conduct data-driven root cause analysis
• Analyze key drivers of logistics performance and identify prioritized actions for optimizing lane transit time and minimizing shipment re-routings and exceptions
• Work closely with third party logistics providers to quantify milestones and goals, and develop reporting triggers based on partner performance
• Determine optimal benchmarks to enable operations decision-making: for example, when to send low-density shipments
• Support management with dashboards, KPIs and ad-hoc analyses

• Bachelor's Degree in Computer Science, Supply Chain, Data Science, or Mathematics; or equivalent experience or evidence of exceptional ability
• 2+ years' experience working with business systems, data analytics, or robust quantitative analysis
• Exceptional analytical skills in logistics, data visualization, and the ability to derive important information from data
• Excellent verbal and written communication skills; ability to communicate with technical team members is essential
• Ability to query from large data sets in SQL, analyze and present data; accessible to both technical and non-technical audiences
• Ability to define problems, collect relevant data, extract meaning from data, and draw logical and coherent conclusions

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)
• 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

$60,000 - $108,000/annual salary + cash and stock awards + benefits

Pay 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.