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Business Analyst Intern

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Onsite

Business Analyst Intern

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Business Analyst Intern

Skills

SQL QueriesTableauData MiningData VisualizationAmplitudeData AnalysisAIGoogle AnalyticsTalent Acquisition

1 month ago

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Important information


Location:

Paris, France

Work mode:

Onsite

Published on:

23 September 2026

What they need


Who you are

  • You are currently pursuing a Master’s degree in Business, Management, Engineering, or an equivalent field, with a specialization in data and analytics based in France and your school can provide an internship agreement
  • You have strong skills in data extraction, manipulation, analysis, modeling, and visualization
  • You are comfortable using SQL, Google Sheets, Tableau, or similar data visualization tools
  • You have strong mathematical skills and are able to build complex models
  • You can communicate clearly and make technical work accessible to non-technical audiences
  • You are autonomous and able to manage multiple tasks and projects at the same time
  • You enjoy hands-on problem solving and are not afraid to dive into operational topics
  • Team spirit is essential for you, and you are someone people enjoy working with
  • You are 100% comfortable in spoken and written English, as this is required for the role
  • Bonus points if you have experience with process automation tools such as Workato or AI agent creation
  • Bonus points if you already have advanced SQL and Tableau experience in a business environment
  • Bonus points if you have worked with Google Analytics, Data Studio, or Amplitude
  • Bonus points if you speak additional languages such as French, German, Spanish, or Italian
  • You are willing to learn and grow in a fast-paced environment
  • Contract: internship agreement provided by your French school is required
  • We know that the perfect background for a role doesn’t mean the perfect fit — we encourage you to apply for a role even if you think you may not have all the qualifications

What the job involves

  • As a Business Analyst Intern in the Trade-In team, you will support both strategic analysis and day-to-day operations
  • You will work on extracting, modeling, and visualizing data, improving tools and dashboards, and helping the team better understand performance drivers
  • This is a hands-on internship with strong exposure to business topics, operational processes, and automation initiatives, ideal for someone who wants to combine analytics with real business impact
  • 80% - Business & Data Analysis:
  • Support the team with data extraction, manipulation, analysis, modeling, and visualization needs
  • Help maintain, update, and improve circularity performance and operations tools, including reports, trackers, dashboards, alerting processes, and operational processes based on automated queries
  • Assist the team in monitoring and analyzing circularity services performance based on key performance indicators on a daily, weekly, and monthly basis
  • Contribute to challenging KPIs and tools, and propose ideas to improve the efficiency and accuracy of tracking and analysis
  • Participate in root cause analyses to better understand performance drivers and identify potential levers for sustainable improvement
  • Support ad hoc analyses to explore and size opportunities to grow the business and/or increase profitability. Assist the team in modeling and sizing project impact, and help ensure projects and processes are supported by clean, reliable data
  • Help maintain and update documentation about circularity data, including access to key databases, key queries, methodologies, important analyses, as well as onboarding and training materials
  • 20% - Operations & Automation:
  • Support the team with daily operational processes, such as alerts and incidents related to shipping, pricing, risks, and other topics, while helping identify opportunities to improve and automate them
  • Contribute to automation initiatives leveraging AI, such as reporting, analysis, and task automation
  • Starting date: January 2027
  • Duration: 6 months
  • Schedule: Full-time (35H/week)

The application process

  • Skills and cultural fit interview with the Hiring Manager
  • Video-call interview with the Talent Acquisition Specialist
  • Live business case interview with a team member

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