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  "employer_name": "Mirakl",
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  "job_description": "Data Analyst Intern – Product (Mirakl Ads)\n\nParis, France\n\nAbout Mirakl:\n\nFounded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.\n\nToday, 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).\n\nWith 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.\n• 🗓️ Founded in 2012 | Member of French Tech Next40\n• 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo\n\nOur Values:\n\nWorking 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.\n\nOur 5 values guide how we collaborate:\n• 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success\n• 🏆 Get Things Done: We prioritize action and efficiency for impactful results\n• 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence\n• 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture\n• 🤝 Satisfy & Empower Clients: We're committed to our clients' success\n\nThe team you'll join\n\nYou’ll join Mirakl Ads (Retail Media), one of Mirakl's strategic high‑growth product pillars.\n\nYou’ll support 3 product squads and work closely with Laura Robert (Product Manager) and Xavier Hue (Senior Product Manager), who will jointly supervise your internship. You’ll collaborate daily with Product Management, Data Science, and Analytics Engineering teams to measure feature impact and transform data insights into actionable decisions that directly influence the product roadmap. This role offers high visibility—you’ll regularly present findings to the team and management.\n\nYour impact\n• Conduct end‑to‑end data analysis: define problems, prepare and preprocess data, perform statistical analyses, and validate results to ensure accuracy.\n• Quantify the impact of product releases and changes using before/after analyses, sizing, hypothesis testing, and segmentation techniques.\n• Define, track, and monitor key performance indicators (KPIs) to measure product success and identify optimization opportunities.\n• Coordinate with Data Science teams to assess algorithmic changes and translate technical results into clear business and product recommendations.\n• Present insights and recommendations regularly to the product team and management, influencing strategic decisions with high visibility.\n\nWhat you'll bring to the role\n• Currently pursuing a gap year internship, end‑of‑studies internship, or career change internship (6 months, starting July 2026).\n• Strong analytical mindset with rigorous problem definition, logical reasoning, and structured thinking.\n• Solid foundation in statistics: hypothesis testing, confidence intervals, and methodological choices for impact analysis and group comparisons.\n• Strong SQL skills; Python experience is a plus.\n• Experience with exploratory data analysis/preprocessing (data cleaning, normalization, outlier management) is a plus.\n• Familiarity with BI tools (Metabase or equivalent) and data visualization best practices is a plus.\n• Curious, motivated, and proactive approach to problem‑solving, demonstrating initiative in identifying opportunities and driving projects forward.\n• Strong teamwork and communication skills to collaborate effectively across cross‑functional teams and present complex findings clearly to diverse audiences (technical and non‑technical stakeholders).\n&",
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  "job_posted_at_datetime_utc": "2026-03-13T00:00:00.000Z"
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