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Senior AI Product Analyst

Kaizen Gaming

FulltimeOfficeWith Experience
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Athens, Greece

Salary:

🥅 sports

DS/ML/AI

We are Kaizen Gaming

Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 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?

 

 

Kaizen Gaming is seeking a Senior AI Product Analyst to join our team of AI 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.

 

Become a driving force in AI product success

As a Senior AI Product Analyst, you will play a pivotal role in shaping the future of our AI products. You will collaborate closely with product managers, data scientists, and senior stakeholders to define and establish success metrics, optimize product performance, and translate business goals into actionable data insights. Your advanced analytics skills together with your passion and curiosity for data will be key into the evolution of our AI products. 

 

As a Senior AI Product Analyst you will:

  • Drive AI product success: You will play a pivotal role in decision-making by providing data-driven recommendations and insights to improve and optimize product performance and define success metrics aligned with business goals
  • Collaborate and Communicate: Work closely with product managers, data scientists, and stakeholders to ensure alignment on strategies and effectively communicate data stories and product insights
  • Analyze and Test: Conduct in-depth analysis, impact opportunity assessments and hands on help in designing and executing A/B tests to evaluate product changes and AI models & features

  

What you’ll bring:

  • Bachelor's degree in a relevant field (Computer Science, Data Science, Statistics, Mathematics)
  • Proven experience in product data analysis with a focus of uncovering valuable and actionable insights to improve the customer experience
  • A strong passion for data, with curiosity and a habit of asking “why”; self-driven, strategic, proactive, and comfortable working with ambiguity in a collaborative environment
    • Excellent communication, presentation and story telling skills
    • Strong problem solving skills with influence-decision mentality and data-driven insight direction
    • Strong proficiency in statistical analysis, and programming languages such as SQL, Python
    • Hands-on experience with at least one data visualization tool (e.g., Tableau, Power BI, Looker, Databricks)

Nice to have:

  • Prior κnowledge of machine learning algorithms and data science concepts
  • Experience with A/B testing methodologies and experimental design, particularly in recommendation systems
  • Experience working in a dynamic, agile and fast-paced environment
  • Exposure to the gaming industry is strong plus

 

Kaizen Gaming Perks

  • 🕑 Hybrid way of working;
  • 🏃 A buddy will support you with your onboarding;
  • 💸 Competitive pay and bonus scheme;
  • 👩‍⚕️ Private health insurance for you and your family;
  • 💰 Monthly meal allowance;
  • ⭐Developmental 360° feedback framework;
  • 📚 Unlimited access to Udemy & continuous training;
  • 👨‍👩‍👧‍👦 Family Support.
  • #LI-Hybrid
  • #LI-AP

 

Recruitment Privacy Notice

Regarding the data you share with us, you may find and read our recruitment privacy notice here.

We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age. 

Apply Now

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