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.
We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.