Customer Analytics Intern- Internship
Pubblicato il 26-10-2026 - Free2Move in Milano
Created in 2016, Free2move simplifies mobility-related uses by offering a wide range of services to satisfy everyone's travel needs.
With Free2move, you can rent a city car for shopping or for your stay in Italy or book a car park during your weekend in Paris... all in one click, on our web/mobile platform
Born from the merger of the Stellantis Group and the start-up TravelCar, Free2move, thanks to its agility and its spirit of conquest has managed to establish itself in just 6 years as a reference player to revolutionize the mobility of all travelers.
Having become the #1 reflex for more than 6 million users, Free2move operates in more than 170 countries across 5 continents and is available in 30 languages and 26 currencies. 5000 partners trust us and several hundred thousand vehicles are available
If you want to join a team of 650 experts and bold international projects, then you're in the right place
You will evolve in an ultra-dynamic, innovative, agile, internationally-focused structure and integrate our talented teams, full of ideas and motivation and with multidisciplinary skills, at the crossroads of the digital eco-system and the fast-changing automotive sector.
JOIN US
It's exciting, you'll see
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Our environment :
At Free2move, data is more than just numbers — it drives the decisions that shape our products, customer experience, pricing strategies, and operational excellence.
As part of our Analytics & Data Science team, you will work alongside Data Analysts and Data Scientists across France, Italy,
and Germany to uncover insights about customer behavior and business performance. You'll join a fast-paced, collaborative environment where innovation, ownership, and continuous learning are encouraged.
Role Overview:
We are looking for a Customer Analytics Intern to join our Analytics & Data Science team in Milan.
You will work closely with senior Data Analysts and Data Scientists to analyze customer behavior, build analytical solutions, create dashboards, and support strategic decision-making across multiple business areas.
This internship is an excellent opportunity to gain hands-on experience working with large-scale datasets and modern analytics tools in a fast-growing international company.
Your next missions:
- Collaborate with Senior Data Analysts and Data Scientists on customer analytics topics
- Explore and analyze large, complex datasets to identify trends, opportunities, and actionable insights
- Build scalable analytical solutions using modern data tools and methodologies
- Design and execute experiments to measure business impact and customer behavior
- Create and maintain reliable dashboards (Tableau preferred)
- Develop, structure,
and optimize datasets to support ongoing and future analyses
- Define, monitor, and report key business and customer performance indicators (KPIs)
- Help automate reporting workflows and improve existing data processes
- Translate business questions into structured analytical frameworks and recommendations
- Support stakeholders in making data-driven decisions through clear and impactful analysis
What We Are Looking For :
Technical & HardSkills:
- Strong proficiency in SQL (mandatory)
- Strong proficiency in Python (mandatory)
- Solid understanding of statistics and data analysis concepts
- Experience working with large and complex datasets
- Experience with Tableau or similar BI tools
- Ability to deliver clear, reliable, and actionable insights
Soft Skills:
- Passion for data analysis, statistics, and problem-solving
- Comfortable balancing quick business requests and in-depth analytical projects
- Strong analytical mindset and attention to detail
- Curious, proactive, and eager to learn
- Ability to work independently while seeking guidance when needed
- Excellent communication skills in English (French and/or Italian are a plus)
- Strong collaboration and time-management skills
Educational Background:
Currently pursuing or recently graduated with a Bachelor's or Master's degree in:
- Data Science
- Business Analytics
- Statistics
- Mathematics
- Engineering
- Computer Science
- Economics or other quantitative disciplines
A profile combining both technical and business understanding is highly appreciated
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