Data Analytics Internship

1 Month ago • Upto 1 Years • Data Analyst • Logistics

Job Summary

Job Description

This 6-month full-time Data Analytics Internship in Tilburg, Netherlands, offers the opportunity to transform complex data into actionable insights using Python, SQL, Tableau, and Tesla's in-house tools. You will work on multiple data projects with both departmental and global reach, developing intuitive reports, building predictive models, supporting management with dashboards and analysis, and communicating findings to stakeholders. The role requires strong analytical and problem-solving skills, experience with Python and SQL, and excellent communication abilities. You'll be involved in identifying supply chain optimization opportunities and collaborating cross-functionally. A background in Business Analytics, Data Science, Supply Chain, or a related field is essential.
Must have:
  • Python proficiency
  • SQL experience
  • Data visualization skills (Tableau)
  • Strong analytical skills
  • Excellent communication
  • Problem-solving abilities
Good to have:
  • Supply chain knowledge
  • Predictive modeling experience

Job Details

What to Expect

Location: Tilburg

Duration: 6 months

Time Type: Full Time

Start Date February 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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