Data Analytics Internship

2 Hours ago • Upto 1 Years • Data Analyst • Logistics

About the job

Job Description

This 6-month full-time Data Analytics Internship in Tilburg, Netherlands, offers a unique opportunity to leverage your data skills within Tesla's dynamic environment. Responsibilities include transforming complex data into actionable insights using Python, Tableau, SQL, and Tesla's in-house tools. You will manipulate large datasets, build predictive models, develop reports for business decision-making, support management with ad-hoc analysis, and identify supply chain optimization opportunities. The ideal candidate possesses strong analytical and problem-solving abilities, excellent communication skills, and experience working with Python and SQL. The role demands strategic thinking, multitasking, and a proactive approach to problem-solving within a fast-paced environment.
Must have:
  • Python proficiency (clean, efficient code)
  • SQL experience
  • Data visualization tool (e.g., Tableau)
  • Strong analytical & problem-solving skills
  • Excellent communication (written & verbal)
Good to have:
  • Supply Chain/Logistics knowledge
  • Predictive modeling experience
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. 

Tesla is a fast-moving, dynamic environment where flexibility and adaptability are key attributes. The successful candidate is a self-starter with a passion for data analytics and supply chain and continuously demonstrates an ability to tackle complex problems and implement solutions.

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
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