Mirakl logo

Analytics Engineer Intern - Mirakl - Paris, France

Posted: November 4, 2025
Posted 247 days ago
Last seen in crawl: July 7, 2026 (1d ago)
Estimated Expiry: December 9, 2025
Remoteness
Role & Management
Role Level:Mid-Level
Job Type
Required Languages

Job Description

As Analytics Engineer Intern at Mirakl, you will build and optimize data models, pipelines, and dashboards to provide high-quality data for decision-making and workflow optimization. You will work closely with product and business teams, develop and support self-service analytics, and promote adoption of analytics solutions.

Company Information

Mirakl logo
Technology
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 Agent Engineer2
AI Product Manager2
Senior Account Executive2
Account Executive2
Researcher1
Enterprise Account Executive1
Squad Lead1
Business Developer1
Solutions Consulting Manager1
Agent Builder1
AI Agent Builder1
People Partner1
AI Engineer1
Business Development Representative1
Product Designer1
Head of Agentic Partnerships1
Customer Success Consultant1
Open Application1
People Operations Specialist1
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

  • Develop and maintain data models and dashboards
  • Support self-service analytics and AI solutions
  • Collaborate with teams to understand data needs
  • Drive adoption of analytics tools

Requirements

  • Fluent in French and English
  • Proficient in SQL and Python
  • Experience with large data sets manipulation
  • Understanding of data modeling concepts

Skills & Technologies

SQLPythonData modelingLarge data sets manipulation

Education Level

Masters

Recruitment Process

  1. 1
    Initial call with recruiter
  2. 2
    Two interviews with manager and colleague
1 day agoOpen ApplicationContent Complete

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