Data Analyst - Internship

We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger.

At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries.

The team

The Analytics Engineering team supports Ledger’s three Business Units: Consumer Sales (hardware sales), Trust Service (insurance), and Enterprise (B2B). We transform raw data into actionable insights using a modern stack: Snowflake, SQL, and dbt for modeling, and Tableau / GA4 for reporting. The team also performs strategic analysis in Python and leads tactical AI initiatives to drive business growth.

What you’ll be doing

• AI Enablement: Drive AI adoption by creating educational content on the Sana platform (tutorials, guides for AI Studio) and assisting non-technical teams in leveraging tools like Cursor or Google AI Studio .

• Analytics Engineering: Handle day-to-day data requests and strengthen data foundations by reducing technical debt in our core models.

• Data Science Automation: Industrialize and scale our "causal impact" and "pre/post" analysis frameworks using Python to transform manual tasks into standardized processes.

What we're looking for

• Education: Master’s degree student (M2) in Data Science, Data Engineering, or a related field.

• Technical Skills: Strong proficiency in SQL and Python for statistical analysis and Machine Learning.

• Tools: Hands-on experience with dbt and Tableau is a significant advantage.

• Soft Skills: Deep curiosity for Generative AI, high autonomy, and a pedagogical mindset to share knowledge across the company.

At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to:

• Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week

• Health & Wellness support - Health and Life Insurance.

• Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work.

• Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation.

• Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee.

For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information.