Products Analytics Engineer - Internship

ledger; France; Híbrido; EUR 10.000 - 15.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Hybrid work policy

Health & Wellness support

Commuter allowance

Learning & Development

Descripción de la vacante

Ledger seeks a Product Analytics Engineer Intern to join the Product Analytics team supporting Ledger Wallet, reporting to the Product Data Analytics Manager. You will help ensure tracking data quality and scale analytics infrastructure for data-driven decisions across product, business, and growth teams.

Ideal candidates are final-year engineering/CS/data science students with strong SQL, Python, and data modeling skills, familiar with Mixpanel or Amplitude, and comfortable with English

Formación

• Final-year student in Engineering, Computer Science, Data Science or related field.
• Strong SQL and Python scripting skills with data modeling understanding.
• Experience with analytics tooling and data quality is a plus.
• Familiarity with A/B testing methodologies and funnel analysis.
• Interest in AI agents/workflow automation is a plus.
• Excellent written and verbal English communication.

Responsabilidades

• Collaborate with Product, Data Engineers and Data Scientists to generate insights and support Growth/CRM personalization.
• Specify and support A/B test setups and funnel evaluations.
• Contribute to AI-governed tracking workflows and end-to-end analytics automation.
• Triage and investigate tracking issues to ensure data quality and reliability.
• Document data models and analytics workflows for stakeholder enablement.
• Ensure privacy-aware constraints across data modeling.

Conocimientos

SQL

Python

Data modeling

A/B testing

Mixpanel/Amplitude

Data visualization

AI agents

English communications

Web3 interest

Educación

Final-year student in Engineering/CS/Data Science

Herramientas

Mixpanel

Amplitude

Descripción del empleo

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

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.

What you’ll be doing

• 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.

What we’re looking for

• 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

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.