Product Data Analyst Intern - Ads

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.

• Conduct end-to-end data analysis: define problems, prepare and preprocess data, perform statistical analyses, and validate results to ensure accuracy
• Quantify the impact of product releases and changes using before/after analyses, sizing, hypothesis testing, and segmentation techniques
• Define, track, and monitor key performance indicators (KPIs) to measure product success and identify optimization opportunities
• Coordinate with Data Science teams to assess algorithmic changes and translate technical results into clear business and product recommendations
• Present insights and recommendations regularly to the product team and management, influencing strategic decisions with high visibility

• Currently 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 thinking
• Solid foundation in statistics: hypothesis testing, confidence intervals, and methodological choices for impact analysis and group comparisons
• Strong SQL skills; Python experience is a plus
• Experience with exploratory data analysis/preprocessing (data cleaning, normalization, outlier management) is a plus
• Familiarity with BI tools (Metabase or equivalent) and data visualization best practices is a plus
• Curious, motivated, and proactive approach to problem-solving, demonstrating initiative in identifying opportunities and driving projects forward
• 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)
• Eager to learn with the ability to adapt quickly to new tools, methodologies, and business contexts in a fast-paced environment
• Comfortable 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 findings

• Monthly internship allowance: €1,200 - €1,400 (depending on profile)
• Meal vouchers (Swile card)
• 50% public transportation reimbursement
• Flexible remote work policy
• Access to company events and learning opportunities

1. AI-powered screening conversation (30 min) with Emma, Mirakl's AI Talent Ambassador to explore your background and motivation for the role
2. Initial conversation with our recruiter to discuss your background and motivations
3. Two interviews to meet your future manager and a future colleague, using structured interview methodology and the STAR method
4. Welcome 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.