About Mirakl

Mirakl is the leading provider of eCommerce software solutions. Mirakl's suite of solutions provides enterprises with a transformative way to drive significant growth and efficiency in their online business.

Since 2012, Mirakl has been pioneering the platform economy, empowering retail and b2b enterprises with the most advanced, secure and scalable technology to digitize and expand product assortment through marketplace and dropship, improve efficiency in supplier catalog management and payments, personalize shopping experiences, and boost profits through retail media.

Mirakl is trusted by Macy’s, Saks, Henry Schein, The Knot, 1800-Flowers, Best Buy, Lowe's, Ulta and 450+ industry-leading businesses worldwide. For more information: www.mirakl.com.

The Team You'll Join

You'll be part of our Analytics Engineer team led by Jean-Nicolas Fine. The team consists of 4 Analytics Engineers based in Paris. Together, you'll be managing customer data and insights at Mirakl, transforming and making data available for all Mirakl teams to accelerate decision-making and optimize workflows.

Your Impact

As an Analytics Engineer Intern, you will play a critical role in building and optimizing data models, pipelines, and solutions to securely, efficiently, and autonomously provide Mirakl teams with high-quality data.

• Work closely with Product & business teams to understand needs and develop valuable data solutions
• Develop and maintain data models & semantic layer (documentation) to convert raw data into analytics-ready datasets
• Develop and support self-service analytics and agentic solutions, empowering users to independently discover insights and optimize workflows
• Build and maintain dashboards guaranteeing reliable access to critical performance indicators
• Drive adoption of analytics solutions through user training, responsive support and incident resolution

What You'll Bring to the Role

Experience

• You are looking for a 6-month internship starting in September 2026
• You are pursuing a Master's degree (Bac +4/+5) in Data Science, Statistics, Computer Science, or a related field
• Experience with the manipulation and transformation of very large data sets
• Solid understanding of data modeling concepts and techniques (e.g. star schemas, normalisation etc.)
• Experience with forecasting and statistical analysis techniques; knowledge of machine learning models is a plus

Skills

• Excellent problem-solving skills and the ability to work independently as well as in a team
• Proficient in SQL and Python

Languages

• Fluent in French and English

Compensation

Internship compensation: Between €1,200 and €1,600 per month (depending on profile)

Benefits:

• A workplace that promotes well-being and balance: breakfasts, sports and yoga classes, after-work drinks, game nights
• A tailor-made onboarding process to quickly acquire skills
• Empowering and evolving responsibilities to make the most of this experience
• A unique opportunity to discover a fast-growing French unicorn and work with international teams
• Access to our CSE discounts (ticketing, etc.)
• A healthy mind in a healthy body: take time for yourself with the Gymlib pass
• Modern offices in the heart of Paris (at the foot of the Eiffel Tower)
• Swile meal vouchers card
• Coverage of transportation costs (50% Navigo pass, bike, etc.)

Our Hiring Process

We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.

Please click the "Apply" button to submit your application, this helps us make the best possible assessment and get back to you as quickly as possible.

• AI-powered screening conversation (10 min) with Emma, Mirakl's AI Talent Ambassador to explore your background and motivation for the role
• An initial call with the recruiter
• Two interviews where you will have the opportunity to meet your future manager and colleague. The STAR method and structured interviews will hold no secrets for you

We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations, we strongly encourage you to apply to any of our roles, even if you think you’re not an exact match.
We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.