Product Analytics Engineer Internship
Ledger helps you keep your digital assets safe using certified hardware wallets and management software that protect against online threats.
Funding history
Projects
About Ledger
Ledger provides secure storage and management for digital assets through certified hardware wallets and software. The hardware wallets store private keys offline to protect against hacks and malware, while Ledger Live software lets users buy, sell, and manage multiple cryptocurrencies. Institutions can use Ledger Enterprise for secure custody and governance. All products support major blockchains and Web3 applications with regular security updates.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will support product, business, and growth teams by improving tracking data quality and analytics infrastructure. You will help set up and evaluate A/B tests, investigate tracking issues, develop data models and documentation, support AI-assisted workflows, and apply privacy-aware constraints to analytics work.
Requirements
- Be a final-year student in Engineering, Computer Science, Data Science, or a related technical field seeking an end-of-studies internship
- Demonstrate proficiency in SQL, Python scripting, and data modeling concepts
- Apply an analytics engineering mindset focused on data quality, reliability, reproducibility, and documentation
- Understand A/B testing methodologies, statistical analysis, and funnel evaluation
- Communicate effectively in written and spoken English
Responsibilities
- Collaborate with Product Managers, Data Engineers, and Data Scientists to deliver insights and support Growth/CRM personalization pipelines
- Specify and support A/B test setups, funnel evaluation, and statistical analysis
- Establish governance, guardrails, and custom skills for AI-enabled analytics platforms
- Contribute to AI-assisted tracking workflows
- Triage, investigate, and follow up on tracking issues
- Develop documentation and data models
- Maintain privacy-aware constraints across data modeling and analytics workflows
Benefits
- Work from home up to 3 times per week under the hybrid policy
- Health and life insurance
- Shareholder opportunities and other country-dependent financial benefits
- Commuter allowance