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Data Analyst - Internship

Ledger

🌍 Europe 🏠 Remote ⏱ Part-time 💼 Intern 🗓 4 days ago

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: ...

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