Product Analytics Engineer Intern

About the role

As a Product Analytics Engineer Intern at Ledger, you will support data-driven initiatives across various teams, focusing on analytics infrastructure and A/B testing. This role provides a chance to work closely with Product Managers, Data Engineers, and Data Scientists, contributing to growth and CRM personalization efforts.

You will engage in tasks such as specifying A/B test setups, conducting statistical analysis, and maintaining data quality. Additionally, you will assist in AI governance and automation, ensuring robust tracking workflows and compliance with privacy standards. This internship is designed for final-year students looking to gain hands-on experience in the Web3 and crypto domains.

Skills that matter here

• SQL: You will use SQL for data modeling and analytics tasks.
• Python: Python scripting will be essential for data analysis and automation.
• data modeling: Data modeling is crucial for developing comprehensive documentation and supporting analytics.
• A/B testing: You will specify and support A/B testing setups to evaluate product features.
• statistical analysis: Statistical analysis will help you derive insights from product data.
• Mixpanel: Familiarity with Mixpanel will aid in tracking and analyzing user interactions.

Who this role suits

• Final-year students in Engineering, Computer Science, Data Science, or related fields.
• Individuals with a strong analytical mindset and attention to data quality.
• Candidates who are curious about AI and workflow automation.
• Those with effective communication skills and an interest in the crypto space.

From the employer

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

• 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.