AI Product Analyst

We are Kaizen Gaming

Kaizen Gaming is the leading GameTech company in Greece and one of the fastest-growing in the world, operating in 13 markets with 2 brands, Betano & Stoiximan. 

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 2.200 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? 

Let's start with the role

Join the AI Revolution at Kaizen Gaming!

Kaizen Gaming is seeking an AI Product Analyst to join our team of experts. We leverage AI to accelerate growth and enhance the customer journey, creating personalized experiences and "Wow" moments that set new standards for engagement and satisfaction.

Become a Driving Force in AI Product Success

As an AI Product Analyst, you'll play a pivotal role in shaping the future of our AI products. You'll collaborate closely with product managers, analysts, and stakeholders to define success metrics, optimize product performance, and translate business goals into actionable data insights.

• Drive AI product success: You'll play a pivotal role by providing data-driven recommendations to optimize product performance and define success metrics aligned with business goals.
• Collaborate and Communicate: Work closely with product managers, analysts, and stakeholders to ensure alignment on strategies and effectively communicate product insights.
• Analyze and Test: Conduct in-depth analysis, monitor performance, design and execute A/B tests to evaluate product changes and features.

What you’ll bring

Must have:

• Bachelor's degree in a relevant field (Computer Science, Data Science, Statistics, Mathematics)
• Proven experience in data analysis, particularly for AI products
• Strong proficiency in statistical analysis, machine learning, data visualization, and programming languages (Python, R, SQL)
• Experience with A/B testing methodologies and experimental design

Nice to have:

• Knowledge of machine learning algorithms and data science concepts
• Prior experience on A/B testing recommendation systems
• Experience working in a dynamic, fast-paced environment

We're looking for someone who is passionate about data, enjoys a challenge, and thrives in a collaborative environment. You have excellent communication and presentation skills, are a strong problem solver, and can influence decisions with data-driven insights.

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