Customer Analytics Intern- Internship

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