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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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Product Data Analyst Intern - Ads

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

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • SQL
  • Python

Soft Skills

  • Strong analytical mindset
  • rigorous problem definition
  • logical reasoning
  • structured thinking
  • Curious
  • motivated
  • proactive approach to problem-solving
  • Strong teamwork and communication skills
  • Eager to learn
  • ability to adapt quickly
  • Comfortable using AI tools critically

Job Description

You'll support 3 product squads and work closely with Laura Robert (Product Manager) and Xavier Hue (Senior Product Manager), who will jointly supervise your internship. You'll collaborate daily with Product Management, Data Science, and Analytics Engineering teams to measure feature impact and transform data insights into actionable decisions that directly influence the product roadmap. This role offers high visibility—you'll regularly present findings to the team and management.

Requirements

  • Currently pursuing a gap year internship, end-of-studies internship, or career change internship (6 months, starting July 2026)
  • Strong analytical mindset with rigorous problem definition, logical reasoning, and structured thinking
  • Solid foundation in statistics: hypothesis testing, confidence intervals, and methodological choices for impact analysis and group comparisons
  • Strong SQL skills; Python experience is a plus
  • Experience with exploratory data analysis/preprocessing (data cleaning, normalization, outlier management) is a plus
  • Familiarity with BI tools (Metabase or equivalent) and data visualization best practices is a plus
  • Curious, motivated, and proactive approach to problem-solving, demonstrating initiative in identifying opportunities and driving projects forward
  • Strong teamwork and communication skills to collaborate effectively across cross-functional teams and present complex findings clearly to diverse audiences (technical and non-technical stakeholders)
  • Eager to learn with the ability to adapt quickly to new tools, methodologies, and business contexts in a fast-paced environment
  • Comfortable using AI tools critically (able to explain, challenge, and correct AI-generated outputs)

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English
  • French

Nice to Haves

  • Python experience
  • Experience with exploratory data analysis/preprocessing (data cleaning, normalization, outlier management)
  • Familiarity with BI tools (Metabase or equivalent) and data visualization best practices
▶Apply Now

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