Your Impact

• Drive data analysis initiatives: Define problems, prepare and preprocess data, conduct statistical analyses, and validate results to support product decisions
• Quantify the impact of product releases: Measure and analyze the impact of new features and algorithmic changes through before/after analysis, sizing, hypothesis testing, and segmentation
• Build and maintain performance dashboards: Create and maintain dashboards for your pillar and squads to track functional adoption and key performance indicators, including shared dashboards with Customer Success and Sales teams
• Support the Senior Product Manager: Accompany product development end-to-end from discovery and ideation through delivery and go-to-market
• Automate and build internal AI-powered tools: Create tools to facilitate team collaboration and automate recurring tasks, such as specialized support agents for PSP switch projects, product Q&A agents, and benchmarking tools specific to your functional scope

What You'll Bring to the Role

Profile & Experience

• Currently pursuing a gap year internship, end-of-studies internship
• Strong analytical mindset with rigorous problem definition, logical reasoning, and structured thinking
• Solid foundation in statistics including hypothesis testing, confidence intervals, and methodological choices for before/after impact analysis and group comparisons

Technical Skills

• Strong SQL skills for data extraction and analysis
• Python experience is a plus
• Familiarity with a BI tool (Metabase or equivalent) and data visualization best practices is a plus
• Basic knowledge in exploratory data analysis and preprocessing (data cleaning, normalization, outlier management) is a plus
• Ability to use AI tools critically - explaining, challenging, and correcting AI outputs

Soft Skills

• Curious, motivated, and proactive: You take initiative and seek out learning opportunities
• Strong team collaboration skills: Clear communication skills are essential to work effectively with cross-functional teams including Product, Data Science, Customer Success, and Sales stakeholders
• Fast learner with adaptability: You have a strong desire to learn and can quickly adapt to new challenges in a dynamic environment

Languages

• Very good level of English required (written and spoken)

Our Hiring Process

• Manuel screening of your CV by a recruiter
• AI-powered screening conversation (10 min) with Emma, Mirakl’s AI Talent Ambassador
• TA interview (30-45 minutes)
• Hiring Manager interview (45 minutes)
• STAR interview (45 minutes)