Data Analytics Internship
1 week geleden
**What to Expect**
Location: Tilburg
Duration: 6 months
Time Type: Full Time
Start Date January 2025
For this role, it is essential that you can think strategically, connecting the dots in the bigger picture, as well as being comfortable with the details of the deliverables. You will be expected to simultaneously handle multiple data projects of department-level scale and global reach.
**What You'll Do**
- Transform complex data into actionable insights using Python
- Manipulate and interpret large datasets to assess business impact and priorities while utilizing Tableau, SQL, and Tesla in-house reporting tools
- 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 results
- Identify gaps in supply chain operations processes and areas for optimization and automation
- Drive problem-solving and continuous improvement initiatives
**What You'll Bring**
- 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
- 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)
- Preferable: Knowledge of Supply Chain, Logistics, or Manufacturing/Process Engineering
- 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
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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