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Demand Planner, Warehousing & Logistics

Tesla

Demand Planner, Warehousing & Logistics

Tesla

Fremont, California

·

On-site

·

Full-time

·

Today

What To Expect
Tesla is hiring a Demand and Labor Planner for Energy Warehousing, Inventory and Logistics Business Unit. This role is responsible for improving forecast accuracy for key commodities and programs, identifying inefficiencies in demand planning processes, and designing innovative solutions that highlight key demand drivers for all categories as well as modeling of the labor needed at the warehouses to ensure proper staffing. The Planner will operate in a highly cross- functional team environment involving Supply Chain, Marketing, Product Management, and Service. This position will provide reliable and timely demand plans to ensure the right service parts and labor are available at the right place at the right time in the right quantity.

What You'll Do

  • Create and manage short and long-term demand forecasts for Service Parts and Accessories that help optimize demand of inventory and staffing levels at worldwide distribution centers, lower the cost of operation, and improve overall custome satisfaction levels
  • Collaborate with Global Supply Managers, Field Operations, Inventory Management, Production teams, Service leaders, and Marketing Teams to gather data and bring information on key business drivers that impact future demand
  • Analyze the detailed historical consumption data by business unit and region and highlight trends and patterns in consumption by applying advanced Statistical Models and Time Series Analysis
  • Develop programs in statistical computing and graphics and apply advanced supply chain analytics to resolve inefficiencies in demand forecasting process, identify opportunities for forecast accuracy improvement, and provide business insights and additional perspectives to the Manager of Energy Material Planning, Distribution, and Service Supply Chain leadership
  • Collaborate with business unit leaders to plan for material End-of-Life (EOL) transition planning with the goal to ensure reliable long-term service coverage while minimizing excess and obsolescence


  • What You'll Bring

  • Degree in Industrial, Systems Engineering, Supply Chain Management, Operations Research, Statistics, Engineering, Mathematics or equivalent experience
  • 5+ years of related experience as a planner, analyst, or in a technical role within supply chain in a manufacturing company
  • Must demonstrate strong mathematical and statistical knowledge relevant to Supply Chain or Operations analytics
  • Strong proficiency in MS Excel and competency in SQL required. Experience in ERP/WRP systems and data visualization programs such as Tableau or Power BI are preferred
  • Able to work on multiple projects simultaneously and prioritizing tasks based on demand despite changes in work scope or focus
  • Passionate and high energy, with strong spoken and written communication skills to positively influence others
  • Open-minded, collaborative and team-oriented


  • Benefits
    Compensation and Benefits
    Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
  • 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

    $96,000 - $144,000/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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    About Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    Employees

    Ciudad De Panamá

    Headquarters

    $800B

    Valuation

    Reviews

    3.1

    5 reviews

    Work Life Balance

    1.5

    Compensation

    1.2

    Culture

    1.3

    Career

    1.8

    Management

    1.1

    15%

    Recommend to a Friend

    Pros

    Strong financial performance

    Revenue growth

    Company achieving targets

    Cons

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    Salary Ranges

    3,570 data points

    Junior/L3

    Mid/L4

    Senior/L5

    Junior/L3 · Production Associate

    1,043 reports

    $44,519

    total / year

    Base

    $44,519

    Stock

    -

    Bonus

    -

    $36,025

    $55,017

    Interview Experience

    4 interviews

    Difficulty

    3.5

    / 5

    Duration

    14-28 weeks

    Experience

    Positive 0%

    Neutral 75%

    Negative 25%

    Interview Process

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    Common Questions

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts