Data Analyst

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?

What’s in it for you

We are looking for a Data Analyst to join our newly formed Data Self Service (DSS) department. This function is the first line of support between business stakeholders and the BI department, designed to streamline requests, promote self-service, and accelerate delivery of insights.

As a Data Analyst, you will:

• Cultivate strong relationships with the assigned function to understand its needs and objectives;
• Develop an excellent understanding of the tools used by the function, identifying opportunities for insights;
• Analyze key performance indicators (KPIs) and assess actual results against targets;
• Continuously challenge and refine existing KPIs, collaborating with the BI team to develop new, impactful metrics;
• Design and develop end-to-end data analytics, visualizing past trends and evaluating key metrics;
• Ensure the integrity, accuracy, and consistency of data used in analysis and reporting;
• Communicate insights and data-driven recommendations to stakeholders to support informed decision-making;
• Align and prioritize data projects and solutions with both the function and the Core BI team;
• Proactively provide data analytics and insights to the function, acting as a Subject Matter Expert (SME) with minimum oversight/guidance;
• Collaborate with the rest of the Data tribe to ensure alignment in data visualization, analysis and optimize the flow of information across teams;
• Advocate for a data-driven culture, promoting the value of data across the organization.

What you’ll bring:

• Bachelor’s/Master’s degree in a quantitative discipline (e.g., Statistics, Mathematics, Economics, Engineering, Operations Research).
• At least 2 years experience in a reporting, statistical or quantitative role.
• Strong SQL skills, highly advanced with MS-Excel (pivot tables, v-lookups) and G Suite experience.
• Strong analytical mindset, with strong attention to detail and the ability to prioritize tasks effectively while aligning with business goals;
• Exceptional data storytelling skills and the ability to articulate technical information to a non-technical audience;
• Experience managing stakeholders at various levels.
• Ability to prioritize, meet deadlines and identify opportunities with limited oversight.
• Relevant experience with Microsoft Power BI (or other dashboarding tool, such as Tableau) will be considered a plus.
• Experience in Data Manipulation and Data Analysis using Python will be considered a plus.
• High drive, a can-do attitude, proactive and adaptability to changing business demands;
• Fluency in English.

Nice to have

• Experience with Python (especially within the context of data analysis and automation using libraries such as Pandas and NumPy);
• Familiarity with Genie or other LLM-based data exploration tools;
• Previous experience in a self-service analytics or support-oriented data team;
• Knowledge of data cataloging, version control for analytics code, and analytics best practices;
• Understanding of stakeholder support and enablement methodologies (e.g., training delivery, FAQ creation, playbooks).

Kaizen Gaming Perks

🕑 Hybrid way of working.🏃 A buddy will support you with your onboarding.💸Competitive salary package and bonus scheme.👩‍⚕️ Health and life insurance for you and your family.📚 Unlimited access to Udemy & continuous training for all your learning and development needs.💰 Monthly allowance for lunch expenses.⭐Clear career paths & a developmental 360° feedback framework.