
Data Analytics Apprentice - Mirakl - Paris, France
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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
| Location | Active listings |
|---|---|
| Remote - Global | 31 |
| Bordeaux, France | 2 |
| Paris, France | 2 |
| Role type | Active listings |
|---|---|
| Data Scientist | 6 |
| Accounts Payable Specialist | 2 |
| AI Product Manager | 2 |
| AI Agent Engineer | 2 |
| Senior Account Executive | 2 |
| Account Executive | 2 |
| Business Development Representative | 1 |
| Customer Success Consultant | 1 |
| Solutions Consulting Manager | 1 |
| Squad Lead | 1 |
| Head of Agentic Partnerships | 1 |
| AI Agent Builder | 1 |
| Enterprise Account Executive | 1 |
| AI Engineer | 1 |
| People Operations Specialist | 1 |
| Open Application | 1 |
| Agent Builder | 1 |
| Researcher | 1 |
| Business Developer | 1 |
| People Partner | 1 |
| Product Designer | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 30 |
| Senior | 1 |
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
Benefits & Perks
Recruitment Process
- 1Manual screening of CV
- 2AI-powered screening conversation
- 3Case study and debrief
- 4Values interview
