About Mirakl:
Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.
Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).
With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.
For more information, visit www.mirakl.com.
Mirakl in Numbers:
- 🗓️ Founded in 2012 | Member of French Tech Next40
- 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
Our Values:
Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.
Our 5 values guide how we collaborate:
- 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
- 🏆 Get Things Done: We prioritize action and efficiency for impactful results
- 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence
- 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
- 🤝 Satisfy & Empower Clients: We're committed to our clients' success
The Team You'll Join
You'll be part of our 6-person Analytics Engineering team based in Paris. Together, we'll be transforming raw data into the insights and intelligence that fuel Mirakl's next phase of growth—from product strategy to AI-driven workflows, everything we build needs a rock-solid data foundation.
The team balances autonomy with collaboration, and we make time for team moments because the best work happens when you actually know the people you're building with. Expect daily stand-ups and bi-weekly syncs at the team level, regular 1:1s with your mentor and manager for personalized support, and monthly all-hands and quarterly kick-offs to connect your work to Mirakl's bigger picture.
Your Impact
This isn't a "maintain the status quo" role, it's a chance to shape how data flows through the entire organization.
- Partner with product and business stakeholders to understand needs and ensure data products deliver actionable value
- Develop data models and comprehensive semantic layer documentation to convert raw data into analytics-ready datasets
- Build and maintain dashboards guaranteeing reliable access to critical performance indicators
- Develop and support agentic analytical solutions, empowering users to independently discover insights and optimize workflows
- Drive adoption of analytics solutions through user training, responsive support, and incident resolution
What You'll Bring to the Role
Experience:
- You're looking for a 6-month internship starting in September 2026
- You're pursuing a Master's degree (Bac +4/+5) in Data Science, Statistics, Computer Science, or a related field
- Proficiency in SQL for data manipulation and transformation of very large datasets
- Solid understanding of data modeling concepts and techniques (e.g., star schemas, normalization)
- Experience with forecasting and statistical analysis techniques
Skills:
- Data visualization with tools like Metabase, Superset, or Tableau
- Strong problem-solving skills and attention to detail
- Ability to work in a fast-paced environment
- Excellent communication skills to work with technical and non-technical stakeholders
- Python for analytics and automation
- nice to have: dbt, AI-powered/agentic tools
Tech Stack
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Data platform: Databricks
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Data visualization: Metabase, Superset
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Programming: SQL, Python
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Modeling: dbt
AI: Dust, Claude, N8N
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Version control & CI/CD: Modern analytics engineering workflows
Languages
- Fluent in French
- Fluent in English
Compensation
Pay Range: €1,200 - €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.
- Manual screening of your CV by a recruiter and then an AI-powered screening conversation (20 min) with Emma, Mirakl's AI Talent Ambassador to explore your background and motivation for the role. You will need to complete this step within 3 days, otherwise we won't be able to move forward with your application.
- An initial call with the recruiter
- Case study + debrief with your future colleagues
- Values interview with your future manager
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 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.
