• Assist with website tracking audits and the implementation of tracking solutions using tools like Google Tag Manager, Tealium, or Adobe Data Collection (Launch).
• Support the setup and validation of web analytics tracking across websites and digital platforms.
• Help analyze data from platforms such as Google Analytics or Adobe Analytics to uncover user behavior insights.
• Collaborate with cross-functional teams including SEO, Paid Media, and UX to support performance measurement.
• Prepare and maintain dashboards and basic reports for internal or client use.
• Stay curious and learn about digital marketing metrics, KPIs, and data interpretation frameworks.

HERE’S WHAT YOU WILL NEED:

• An active student status and be available to work a minimum of 30 hours per week in a hybrid mode from office in Warsaw
• Fluency in English and Polish
• Basic knowledge of Excel or Google Sheets for data handling and reporting.
• Exposure to Google Analytics, Google Tag Manager, Adobe Data Collection (Launch), or other web analytics platforms.
• Some understanding of how websites function (HTML, JavaScript, cookies, etc.) is a plus.
• Curiosity about digital performance, KPIs, conversion funnels, and data storytelling.
• Willingness to explore how AI-driven insights and automation can support data interpretation and decision-making in digital marketing.
• Interest in digital marketing and analytics, with a desire to grow in this field.
• Problem-solving mindset, willingness to learn, and strong attention to detail.
• Organized and self-motivated, with good time management skills.

BONUS POINTS IF YOU HAVE:

• any other European language (e.g., German, French, Spanish, Italian, Dutch, or Nordic languages)
• Interest in AI tools and their applications in marketing and analytics (e.g., using AI for data analysis, predictive modeling, report generation, or personalization).
• Familiarity with Agentic AI platforms such as n8n, Make.com, or similar tools — and a desire to explore how automation and autonomous workflows can enhance analytics processes.

WHAT’S IN IT FOR YOU?

• Paid, several-month internship program - min. 3 months, 4-5 days a week, with flexible working hours and possibility to work remotely (hybrid mode).
• A chance for long-term cooperation.
• Professional development and personal development- based on a culture of feedback and constant support from a mentor, a clear path of growth from the first day of work, and assistance from a Buddy in a new workplace.
• Opportunity to engage or even come up with your own Social Impact Projects that support local communities and global charitable initiatives.
• Paid employee referral program.