Θέση Internship στην Kaizen Gaming

    We are Kaizen Gaming

    Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 19 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.

    We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.

    Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?

    About the role

    As a Product Analyst Intern, you will support data-driven decision-making across our Gaming

    & Rewards product vertical. You will apply your analytical skills to ensure the accuracy of product analytics data, evaluate experiments, and generate insights on customer behavior and product performance. This role will give you exposure to the full spectrum of product analytics work, from statistical analysis to digital product monitoring and business insights.

    Brief description of the team and the role, impact/importance of the role. As a Product Analyst Intern, you will:

    • Support the design, setup, and evaluation of product analysis & experiments (A/B Tests,

    Hypothesis testing etc);

    • Write SQL & Python queries to extract, clean, and analyze large datasets;
    • Monitor product analytics implementations, Google Analytics events & data collection;
    • Contribute to dashboards and reporting that track product performance and user engagement;
    • Analyze customer behavior and product KPIs to generate actionable insights;
    • Collaborate with Product Owners, Product Managers, Designers, UX Researchers & the Digital Analytics & BI teams on your day-to-day work.

    What you will bring:

    • Final-year Bachelor’s or Master’s student in Statistics, Mathematics, Data/Business Analytics, Informatics, Digital/Marketing Business, or related fields;
    • Proficiency in SQL & Python;
    • Familiarity with GA4;
    • Strong analytical and problem-solving skills;
    • Foundation in statistics (hypothesis testing, significance, or related methods);
    • Interest in digital product performance, customer behavior, and experimentation;
    • Curiosity, eagerness to learn, and ability to connect data insights to real product and business outcomes.