Mirakl logo

Data Analytics Apprentice - Mirakl - Paris, France

Posted: June 19, 2026
Posted 20 days ago
Last seen in crawl: July 7, 2026 (1d ago)
Estimated Expiry: July 24, 2026
Remoteness
Role & Management
Role Level:Mid-Level
Management Tier:No People Management
Job Type
Required Languages

Job Description

Join Mirakl's Analytics Engineering team in Paris to transform raw data into insights that fuel growth. Develop data models, dashboards, and analytical solutions. Collaborate with stakeholders, support user adoption, and contribute to AI workflows. Fluency in French and English required. Benefits include wellness activities, modern offices, meal vouchers, and transportation support. Apprenticeship begins September 2026.

Company Information

Mirakl logo
Technology
Headcount: 750
Current open roles at Mirakl on JobCrawls
LocationActive listings
Remote - Global31
Bordeaux, France2
Paris, France2
Current role mix at Mirakl on JobCrawls
Role typeActive listings
Data Scientist6
Accounts Payable Specialist2
AI Product Manager2
AI Agent Engineer2
Senior Account Executive2
Account Executive2
Business Development Representative1
Customer Success Consultant1
Solutions Consulting Manager1
Squad Lead1
Head of Agentic Partnerships1
AI Agent Builder1
Enterprise Account Executive1
AI Engineer1
People Operations Specialist1
Open Application1
Agent Builder1
Researcher1
Business Developer1
People Partner1
Product Designer1
Current role-level mix at Mirakl on JobCrawls
Role levelActive listings
Mid-Level30
Senior1

Mirakl appears in 35 indexed job postings in JobCrawls' Finland dataset since August 2025. In that historical index, the strongest location signals for this employer are Remote - Global, Bordeaux, France, and Paris, France.

Data shown is based on historical job postings from our database.

Job Details

Responsibilities

  • Transform raw data into insights to support product strategy and AI workflows
  • Develop data models and documentation for analytics-ready datasets
  • Build and maintain dashboards for performance indicators
  • Support analytical solutions and promote user adoption

Requirements

  • Pursuing a Master's degree (Bac +4/+5) in Data Science, Statistics, Computer Science, or related field
  • Proficiency in SQL for data manipulation and transformation of large datasets
  • Solid understanding of data modeling concepts and techniques
  • Experience with forecasting and statistical analysis techniques

Skills & Technologies

SQLData visualization tools (MetabaseSuperset)PythonData modeling

Recruitment Process

  1. 1
    Manual screening of CV
  2. 2
    AI-powered screening conversation
  3. 3
    Case study and debrief
  4. 4
    Values interview
1 day agoOpen ApplicationContent Complete

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