Data Analyst Intern (Product)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Analyst Intern (Product): Conduct end-to-end data analysis and impact measurement for Ads product with an accent on statistical rigor, KPI tracking, and cross-team collaboration. Focus on designing and validating analyses, presenting insights to influence product decisions, and working closely with product and data science teams.
Location: Paris, France with flexible remote and hybrid work policy
Salary: €1,200 - €1,400 per month
Company
is a global leader in marketplace innovation, providing SaaS solutions for retailers and B2B organizations to launch and operate marketplaces, with offices worldwide including Paris and Boston.
What you will do
- Perform data analysis including problem definition, data preparation, statistical testing, and validation
- Quantify product release impacts using hypothesis testing and segmentation
- Define and monitor KPIs to measure product success and identify optimization opportunities
- Collaborate with Data Science teams to translate algorithmic changes into business recommendations
- Present findings regularly to product teams and management with high visibility
Requirements
- Must be currently pursuing a 6-month internship starting July 2026
- Professional level English required for international collaboration and presentations
- Strong analytical mindset with solid statistics knowledge and SQL skills
- Experience or interest in Python, data preprocessing, and BI tools is a plus
- Strong communication and teamwork skills to work across cross-functional teams
- Curious and proactive approach with ability to adapt quickly in a fast-paced environment
Culture & Benefits
- Monthly internship allowance between €1,200 and €1,400 depending on profile
- Meal vouchers and 50% public transportation reimbursement
- Flexible remote work policy supporting hybrid arrangements
- Access to company events and learning opportunities
Hiring process
- Initial AI-powered screening conversation followed by recruiter screening
- Interviews with future manager and colleague using structured methodology
- Final decision and onboarding upon successful completion
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