Demand Planner (m/w/d) – Gigafactory Berlin Brandenburg

Grünheide (Mark), BB, DE, Germany

Job Description

What to Expect


Tesla is accelerating the world's transition to sustainable energy. We continuously develop revolutionary strategies and products within shortest time, and successfully launch them on a large scale. This is only possible through extraordinary speed, innovation and efficiency.


Gigafactory Berlin forms the perfect basis for rolling out Tesla's incredible success story in Europe. The most important pillar for this is our employees. Their passion, motivation and engagement ensure that we consistently achieve our goals. We are looking for you to continue and expand this success story together.



The role:




The Demand Planning team at Tesla is responsible for the end-to-end global plan for the auto business. The EMEA Demand Planner is responsible for solving quantitative optimization problems around our vehicle plan to maximize operational efficiency, customer experience, plan stability, and financial results.

What You'll Do

Use Operations Research modeling techniques with Python and SQL to develop and optimize current planning models to determine what cars we build, where they go, and what customers they go to Work with production, supply chain, logistics, programs, sales and finance to determine constraints and goals to feed into the model, dealing with unexpected challenges as they arise Use SQL to create reporting summarizing the plan, track changes, and identify gaps Manage communication with various cross-functional teams in order to ensure zero-error data quality and integrity Lead partner teams on process improvements, plan execution, and other planning-related initiatives Provide thought leadership on how we can improve our planning processes and drive efficiency in sales operations Adeptly handle multiple priorities in a dynamic environment and be willing to pivot as the business requires

What You'll Bring

Bachelor’s Degree (Master’s preferred) in Engineering, Computer and/or Data Science, Operations Research, Industrial Engineering or equivalent experience and evidence of exceptional ability Experience in building operational optimization models and algorithms in Python and/or other programming languages 3+ years of related experience in applying statistics in planning, analytics or operations role Programming Languages: Python + SQL required, Tableau & Airflow experience nice to have Strong experience in data processing methods (e.g. building ETLs) Bonus experience: understanding of S&OP (Sales & Operations Planning) elements and process Self-motivation, strong work ethic and passion for being hands-on in their work Excellent judgment and ability to proactively anticipate complex chain-reaction impacts of plans Thrives in a fast-paced, high pressure environment Strong written and verbal communication skills


What we offer


You will be working in our state-of-the-art Gigafactory, where you’ll solve the world's most interesting problems with the best and brightest people who share a passion to change the world. Tesla’s compensation package includes competitive salary and Tesla shares or bonuses. Typical benefits that are offered are a pension program, 30 vacation days, flexible work arrangements, corporate benefits, employee insurances, relocation, and commuting support.



Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.



Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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Job Detail

  • Job Id
    JD3407338
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Vollzeit
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Grünheide (Mark), BB, DE, Germany
  • Education
    Not mentioned