Product Analytics Engineer Intern — Data Quality & Growth

Wwshemi; Paris; Hybrid; EUR 13,000 - 20,000; Part time

Benefits offered by this job

Hybrid work policy

Health & wellness benefits

Shareholder opportunities

Commuter allowance

Learning & development

Job summary

Ledger, the global platform for digital assets, invites a Product Analytics Engineer Intern to join the Product Analytics team. You will support Wallet analytics across Product, Business and Growth/CRM, ensuring tracking data quality and scaling analytics infra to enable data-driven decisions.

Key activities include cross-functional collaboration, experimentation, AI governance, and maintaining privacy-aware data models. Fluency in English and interest in Web3 are essential.

Qualifications

• 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.

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.

Skills

SQL

Python

Data modeling

A/B testing

English communication

AI/automation interest

Education

Final-year student in Engineering/CS/Data Science

Tools

Mixpanel

Amplitude

Snowflake MCP

dbt

Job description

Ledger, the global platform for digital assets, invites a Product Analytics Engineer Intern to join the Product Analytics team. You will support Wallet analytics across Product, Business and Growth/CRM, ensuring tracking data quality and scaling analytics infra to enable data-driven decisions.

Key activities include cross-functional collaboration, experimentation, AI governance, and maintaining privacy-aware data models. Fluency in English and interest in Web3 are essential.