Data Analytics Internship

7 Months ago • Upto 1 Years

Logistics

Job Description

This 6-month full-time Data Analytics Internship in Tilburg, Netherlands, requires strategic thinking and attention to detail. You'll manage multiple data projects with global reach, transforming complex data into actionable insights using Python, SQL, Tableau, and Tesla's in-house tools. Responsibilities include developing reports, building predictive models, creating dashboards, conducting ad-hoc analyses, communicating with stakeholders, identifying supply chain optimization opportunities, and driving continuous improvement initiatives. The ideal candidate possesses strong analytical and problem-solving skills and experience with Python and SQL.

Good To Have:

Supply chain knowledge
Predictive modeling experience

Must Have:

Python proficiency
SQL experience
Data visualization skills (Tableau)
Strong analytical & problem-solving skills
Excellent communication

Add these skills to join the top 1% applicants for this job

data-visualization

python

sql

data-science

tableau

data-analytics

business-analysis

cross-functional

team-management

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