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Data Analyst - Internship

https://www.ledger.com Logo

Ledger

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Location:
France , Paris

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Analytics Engineering team supports Ledger's three Business Units: Consumer Sales (hardware sales), Trust Service (insurance), and Enterprise (B2B). We transform raw data into actionable insights using a modern stack: Snowflake, SQL, and dbt for modeling, and Tableau / GA4 for reporting. The team also performs strategic analysis in Python and leads tactical AI initiatives to drive business growth.

Job Responsibility:

  • AI Enablement: Drive AI adoption by creating educational content on the Sana platform (tutorials, guides for AI Studio) and assisting non-technical teams in leveraging tools like Cursor or Google AI Studio
  • Analytics Engineering: Handle day-to-day data requests and strengthen data foundations by reducing technical debt in our core models
  • Data Science Automation: Industrialize and scale our causal impact and pre/post analysis frameworks using Python to transform manual tasks into standardized processes

Requirements:

  • Master's degree student (M2) in Data Science, Data Engineering, or a related field
  • Strong proficiency in SQL and Python for statistical analysis and Machine Learning
  • Hands-on experience with dbt and Tableau is a significant advantage
  • Deep curiosity for Generative AI, high autonomy, and a pedagogical mindset to share knowledge across the company
What we offer:
  • 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

Additional Information:

Job Posted:
May 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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