Product Analytics Engineer Intern for Growth & AI

ledger; France; Hybrid; EUR 10,000 - 15,000; Part time

Benefits offered by this job

Hybrid work policy

Health & Wellness support

Commuter allowance

Learning & Development

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

Data modeling

A/B testing

Mixpanel/Amplitude

Data visualization

AI agents

English communications

Web3 interest

Education

Final-year student in Engineering/CS/Data Science

Tools

Mixpanel

Amplitude

Job description

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