Products Analytics Engineer - Internship

Ledger
Paris, France
HybridCareer-pivot friendly

Who this role is best for

Geared toward final-year students comfortable with A/B testing and data governance, with a focus on Web3 and digital assets, and working in a hybrid setup in Paris, France.

Best fit for

  • Final-year students with a technical background in data modeling and analytics, eager to work in Web3 and digital assets.
    — “Final-year student in Engineering, Computer Science, Data Science, or a related technical field seeking an end-of-studies internship.”
  • Candidates with a strong interest in AI-assisted analytics and workflow automation, and experience with SQL and Python.
    — “Hands-on experience or deep curiosity regarding AI agents and workflow automation is a strong plus.”
  • Individuals who prioritize data quality, reliability, and documentation in their workflows.
    — “Analytics engineering mindset with a focus on data quality, reliability, reproducibility, and documentation.”

Things to consider

  • The role requires in-office presence up to three times per week despite flexible work options.
    — “Our hybrid policy allows employees to work from home up to 3 times per week”
  • Candidates must be prepared to handle privacy and compliance requirements across all data modeling.
    — “Maintain standard privacy-aware constraints across all data modeling and analytics workflows.”

How to stand out

  • Highlight experience with A/B testing and funnel analysis in your resume and interviews.
    — “Specify and support A/B test setups, funnel evaluation, and advanced statistical analysis for product features.”
  • Emphasize your ability to build and maintain data models using dbt or data mart tools.
    — “Develop comprehensive documentation and data models (dbt/data mart) to empower stakeholders.”
  • Showcase your familiarity with analytics platforms like Mixpanel and Snowflake MCP.
    — “Familiarity with Product Analytics tools (e.g., Mixpanel, Amplitude) and data visualization tools is a strong plus.”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Support A/B test setups and advanced statistical analysis
  • Triage and investigate tracking issues
  • Develop comprehensive documentation and data models
Typical background
Final-year student in Engineering, Computer Science, Data Science

Skills & requirements

Required

SQLPython ScriptingData ModelingA/B TestingFunnel EvaluationStatistical AnalysisData QualityData ReliabilityData ReproducibilityData Documentation

Preferred

AI GovernanceAI AutomationProduct Analytics ToolsData Visualization Tools

Stack & domain

SQLPythonData ModelingA/B TestingAnalytics ToolsCommunicationProblem-solvingTeamworkAttention To DetailWeb3Digital AssetsCrypto

About the role

Original posting from Ledger via Ashby

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.

At Ledger, 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.

Source: Ledger careers (Ashby)

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