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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

20Open Positions

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Product Manager Intern - Platform

Mirakl
Found 1 month ago
Location
Paris, France
Duration (Months)
6 Months
Time
Not disclosed
Work Mode
Not disclosed
Salary
€1,200 - €1,400
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • SQL
  • Python
  • Metabase
  • data visualization
  • exploratory data analysis
  • data cleaning
  • normalization
  • outlier management
  • AI tools

Soft Skills

  • Curious, motivated, and proactive
  • Strong team collaboration skills
  • Clear communication skills
  • Fast learner with adaptability

Job Description

Support the Senior Product Manager: Accompany product development end-to-end from discovery and ideation through delivery and go-to-market Drive data analysis initiatives: Define problems, prepare and preprocess data, conduct statistical analyses, and validate results to support product decisions Quantify the impact of product releases: Measure and analyze the impact of new features and algorithmic changes through before/after analysis, sizing, hypothesis testing, and segmentation Build and maintain performance dashboards: Create and maintain dashboards for your pillar and squads to track functional adoption and key performance indicators, including shared dashboards with Customer Success and Sales teams. Automate and build internal AI-powered tools: Create tools to facilitate team collaboration and automate recurring tasks, such as specialized support agents for PSP switch projects, product Q&A agents, and benchmarking tools specific to your functional scope

Requirements

  • Currently pursuing a gap year internship, end-of-studies internship
  • Strong analytical mindset with rigorous problem definition, logical reasoning, and structured thinking
  • Solid foundation in statistics including hypothesis testing, confidence intervals, and methodological choices for before/after impact analysis and group comparisons

Related Field

  • Product

Related Subfield

  • Product Management

Languages

  • English

Nice to Haves

  • Python experience is a plus
  • Familiarity with a BI tool (Metabase or equivalent) and data visualization best practices is a plus
  • Basic knowledge in exploratory data analysis and preprocessing (data cleaning, normalization, outlier management) is a plus
  • Ability to use AI tools critically - explaining, challenging, and correcting AI outputs
▶Apply Now

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