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Supply Chain Data AnalystTesla • Palo Alto, California, United States
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Supply Chain Data Analyst

Tesla
  • US
    Palo Alto, California, United States
  • US
    Palo Alto, California, United States
Jetzt Bewerben

Über

What to Expect In this role, you will serve as the Data Analyst supporting Supply Chain department. You will be leading effective utilization of large supply chain data sets, delivering impactful analytics solutions for Supply Chain Program Managers (SCPMs), and contribute continuous improvement efforts across supply chain. The ideal candidate is a proactive and technically versatile analyst who thrives on automating manual workflows, building scalable tools, and solving complex supply chain problems with data.
What You'll Do
Build and maintain tools, dashboards, and platforms that provide end-to-end visibility into supply and demand planning across multiple tiers of the supply chain
Design and run supply simulations to identify gating supply chains, forecast risk, and support proactive decision-making by planning, SCPM, and GSM teams
Automate daily operational workflows to eliminate manual processes and drive operational excellence across Material Planning, GSM, and Component GSM teams
Query and analyze large-scale datasets using SQL to uncover supply chain trends, exceptions, and actionable insights
Develop Python-based automation scripts and data processing pipelines for data extraction, transformation, reporting, and simulation modeling
Support leadership with dashboards, ad-hoc analyses, supply risk assessments, and quarterly operational summaries
Independently manage multiple analytical projects, platform builds, and data support requests, ensuring objectives and deadlines are met
What You'll Bring
Degree in quantitative field (e.g., Engineering, Supply Chain, Computer Science, Business Analytics) or equivalent experience or evidence of exceptional ability with 4+ years of work experience in supply chain analytics, demand/supply planning, or a related analytical role
Strong proficiency in querying large datasets using SQL
Experience with Python for data analysis, automation, and pipeline development (e.g., pandas, NumPy)
Demonstrated ability to analyze complex data, run simulations, and present findings clearly and concisely
A collaborative, flexible, and open working style with the ability to build trust and credibility across planning, GSM, and systems teams
Experience creating dashboards and visualizations using tools like Tableau or similar is highly preferred
Compensation and Benefits Benefits
Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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 $72,000 - $162,000/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.
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  • Palo Alto, California, United States

Sprachkenntnisse

  • English
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