About the Role
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.
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 million units already sold in 200 countries.
As a Product Analytics Engineer Intern, you will join the Product Analytics team supporting Ledger Wallet across Product, Business, and Growth/CRM teams. Reporting directly to the Product Data Analytics Manager, you will play a key role in ensuring tracking data quality, and scaling our analytics infrastructure to support company-wide data-driven decision-making.
Responsibilities
•Cross-Functional Collaboration: Work closely with Product Managers, Data Engineers, and Data Scientists to deliver insights and support Growth/CRM personalization pipelines.
•Experimentation & A/B Testing: Specify and support A/B test setups, funnel evaluation, and advanced statistical analysis for product features.
•AI Governance & Automation: Help establish governance, guardrails, and custom skills for users querying analytics platforms (Mixpanel, Snowflake MCP) via AI tools, and contribute to building end-to-end AI-assisted tracking workflows.
•Tracking Quality & Investigations: Triage, investigate, and follow up on tracking issues to maintain data sanity.
•Documentation & Enablement: Develop comprehensive documentation and data models (dbt/data mart) to empower stakeholders.
•Privacy & Compliance: Maintain standard privacy-aware constraints across all data modeling and analytics workflows.
Requirements
•Final-year student in Engineering, Computer Science, Data Science, or a related technical field seeking an end-of-studies internship.
•Strong proficiency in SQL, Python scripting, and data modeling concepts.
•Analytics engineering mindset with a focus on data quality, reliability, reproducibility, and documentation.
•Understanding of A/B testing methodologies, statistical analysis, and funnel evaluation.
•Familiarity with Product Analytics tools (e.g., Mixpanel, Amplitude) and data visualization tools is a strong plus.
•Hands-on experience or deep curiosity regarding AI agents and workflow automation is a strong plus.
•Excellent written and verbal communication skills in English.
•Interest in Web3, digital assets, and crypto is a plus.
Benefits
•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.
