About MiraklMirakl 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 joinYou'll join Mirakl Ads (Retail Media), one of Mirakl's strategic high-growth product pillars.You'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. Your impactConduct end-to-end data analysis: define problems, prepare and preprocess data, perform statistical analyses, and validate results to ensure accuracyQuantify the impact of product releases and changes using before/after analyses, sizing, hypothesis testing, and segmentation techniquesDefine, track, and monitor key performance indicators (KPIs) to measure product success and identify optimization opportunitiesCoordinate with Data Science teams to assess algorithmic changes and translate technical results into clear business and product recommendationsPresent insights and recommendations regularly to the product team and management, influencing strategic decisions with high visibilityWhat you'll bring to the roleCurrently pursuing a gap year internship, end-of-studies internship, or career change internship (6 months, starting July 2026)Strong analytical mindset with rigorous problem definition, logical reasoning, and structured thinkingSolid foundation in statistics: hypothesis testing, confidence intervals, and methodological choices for impact analysis and group comparisonsStrong SQL skills; Python experience is a plusExperience with exploratory data analysis/preprocessing (data cleaning, normalization, outlier management) is a plusFamiliarity with BI tools (Metabase or equivalent) and data visualization best practices is a plusCurious, motivated, and proactive approach to problem-solving, demonstrating initiative in identifying opportunities and driving projects forwardStrong teamwork and communication skills to collaborate effectively across cross-functional teams and present complex findings clearly to diverse audiences (technical and non-technical stakeholders)Eager to learn with the ability to adapt quickly to new tools, methodologies, and business contexts in a fast-paced environmentComfortable using AI tools critically (able to explain, challenge, and correct AI-generated outputs)Professional level of English required to collaborate with international teams and present findingsCompensation & BenefitsMonthly internship allowance: €1,200 - €1,400 (depending on profile)Meal vouchers (Swile card)50% public transportation reimbursementFlexible remote work policyAccess to company events and learning opportunitiesOur Hiring processManuel screening of your CV by a recruiter and then an AI-powered screening conversation (10 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 applicationInitial conversation with our recruiter to discuss your background and motivationsTwo interviews to meet your future manager and a future colleague, using structured interview methodology and the STAR methodWelcome to Mirakl! 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.