Tesla Supply Chain Data Analytics Internship 

Netherlands, North Holland, Amsterdam 

626936787

Duration: 6 months

Time type: Full Time (40 hours p/w)

Start date: August/September 2024

PLEASE NOTE THAT TO BE CONSIDERED FOR THIS POSITION YOU MUST BE ENROLLED IN EDUCATION THROUGHOUT THE ENTIRE INTERNSHIP

• Help the team to identify gaps in supply chain operations processes and areas for optimization and automation
• Drive problem-solving and continuous improvement initiatives
• Apply your knowledge to transform complex data into actionable insights using Python
• Collaborate in projects that will focus on the manipulation and interpretation of large datasets to assess business impact and priorities while utilizing Tableau, SQL, and Tesla in-house reporting tools
• Learn how to develop and implement intuitive reports that provide insights for business decision-making
• Assist in building and fine-tuning predictive models, working with cross-functional teams to integrate these models into daily operations
• Support management with dashboards, data pulls, and ad-hoc analysis
• Communicate with stakeholders, gather business requirements, and brainstorm KPIs
• Maintain clear and organized documentation of data sources, analysis methodologies, and result

• Currently pursuing a Bachelor’s / Master’s Degree in Business Analytics, Data Science, Supply Chain, Computer Science, Information Studies, Operations, Engineering, or a related field
• Level C1 in English (written and spoken)
• Supply Chain or Industrial Engineering background is desirable but not essential
• Experience working with Python with a strong ability to write clean, efficient, and maintainable code
• Experience working with SQL, and familiarity with at least one data visualization tool (e.g., Tableau)
• Knowledge of Supply Chain, Logistics, or Manufacturing/Process Engineering is desirable but not essential
• Excellent written and verbal communication across technical and non-technical stakeholders
• Strong analytical and problem-solving skills
• Ability to work with tight deadlines in a fast-paced environment and handle unexpected challenges, maintaining a high level of productivity without compromising quality under pressure
• Eagerness to collaborate cross-functionally with other business and engineering teams, while being able to work independently
• Organized, detail-oriented, execution-focused, relentless, and willing to find cracks in the system to expose problems