Demand Planning Analyst

Tesla is hiring a Demand Planning Analyst for Energy Service Material Planning to manage and improve demand forecasting of Service Parts and Accessories for its Energy Service Business_ Unit. This role is responsible for improving forecast accuracy on key commodities and programs, identifying inefficiencies in demand planning processes and designing innovative solutions that highlight key demand drivers for all categories of Service Parts and Accessories. The Demand Planning Analyst will operate in a highly cross-functional team environment involving Supply Chain, Marketing, Product Management and Engineering and provide reliable and timely demand plans to ensure the right service parts are available at the right place at the right time in the right quantity.

• Create and manage short- and long-term demand forecasts for Service Parts and Accessories that help optimize inventory levels at worldwide distribution centers, lower the cost of operation, and improve overall customer satisfaction levels
• Collaborate with Global Supply Managers, Field Operations, Inventory Management, NPI, Production Demand Planning, Reliability Engineering, Service Campaigns and Marketing Teams to gather data and bring information on key business drivers that impact the future demand on Service Parts and Accessories
• Analyze the detailed historical consumption data by channel by 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 Manager of Energy Material Planning and Service Supply Chain leadership
• Collaborate with NPI, Reliability Engineering and Procurement teams 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
• Master's Degree in Statistics, Operations Research, Supply Chain Management, Industrial or Systems Engineering, Mathematics, Engineering or equivalent experience or evidence of exceptional ability in these fields
• 1-2 years of experience in demand planning, supply chain analytics, or data science within a manufacturing or high-volume operations environment, with a proven track record in consumption-based forecast model development and validation
• 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
• Experience with Python (Pandas, NumPy) 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 attitude with the ability to think outside the box for solutions to complex challenges
• Self-motivation, strong work ethic, and a passion for being hands-on in their work