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Business Planning Analyst, Resource Planning

Tesla -
Zug, ZG

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Leistungen

Unterkunft

Qualifikationen

Microsoft Excel
SQL
Analysefähigkeit
Python

Vollständige Stellenbeschreibung

What to Expect

At Tesla, resource allocation decisions — where we build, how many people we hire, and how we scale infrastructure across EMEA — must be grounded in accurate, data-driven planning. The Resource Planning team within EMEA Business Planning owns the models that translate demand signals into headcount targets, real estate requirements, and investment inputs across all verticals: Sales, Delivery, Service, Used Cars, and Supercharging.

As a Business Planning Analyst within this team, you will build and maintain the analytical models that underpin these decisions. This is a deliberately flexible role where you will work across both real estate and headcount planning depending on business priorities, and we expect you to develop genuine expertise across both dimensions. You will work closely with the Resource Planning Lead and partner with Finance, Infrastructure Development, and Operations teams across 30+ EMEA markets to ensure every resource decision has a rigorous analytical basis behind it.

What You'll Do

Build and maintain EMEA-wide real estate and headcount models across Sales, Delivery, Service and Used Cars, translating demand forecasts and productivity assumptions into site-level capacity requirements and investment recommendations
Partner with Infrastructure Development and Real Estate teams to align planning assumptions with on-the-ground feasibility, permit timelines, and CAPEX parameters. Produce quarterly real estate and headcount planning outputs for FP&A, senior leadership and Regional teams, including scenario analyses under varying demand and growth assumptions
Develop productivity benchmarks and staffing ratio models that can be applied consistently across markets and adapted to local operational contexts
Provide headcount planning inputs for new market launches, product rollouts, and business cases requiring FTE investment
Identify opportunities to improve the accuracy and efficiency of headcount models: through better data sourcing, automation, or methodological refinements
Serve as a reliable analytical partner to Finance, Operations, and regional market teams: responding to ad-hoc modelling requests and translating complex outputs into clear, actionable recommendations
Continuously improve the team's analytical tools and processes: introducing automation, better data pipelines, and more scalable modelling approaches

What You'll Bring

Experience in business planning, financial analysis, strategy, or a closely related analytical role
Strong modelling skills — proficient in Excel with the ability to build structured, auditable models from scratch. Experience with Python or SQL is a significant advantage and actively encouraged
Structured, clear communicator — able to present complex outputs simply to non-analytical stakeholders and to write concise, well-reasoned recommendations
Able to operate across multiple workstreams simultaneously without losing quality — you manage your own priorities and flag risks proactively rather than waiting to be asked.
Curious and self-directed — you do not wait for perfect instructions before starting, and you bring questions and ideas rather than just outputs
Track record of building analytical tools that others adopt and maintain — not just one-off analyses

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.

Jetzt bewerben

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