Data Analyst (Data Self-Service)

<div class="content-intro"><p><strong>We are Kaizen Gaming</strong></p> <p>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.</p> <p>We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. </p> <p>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?</p> <p> </p> <p> </p></div><p><strong>Let's start with the role</strong></p> <p>We are looking for a <strong>Data Analyst </strong>to join our newly formed <strong>Data Self Service (DSS) </strong>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.</p> <p> </p> <div><strong>As a Data Analyst you will:</strong></div> <ul> <li>Act as the first point of contact for internal data requests from business units, identifying scope and complexity; </li> <li>Categorize requests into ad-hoc (small) and project-level (medium/large), solving the former independently and escalating the latter to the appropriate Core BI teams;</li> <li>Build and maintain scalable and modular Databricks notebooks (including parameterized templates) to support self-service use cases; </li> <li>Actively contribute to the creation and evolution of Genie Workspaces, promoting a culture of data self-service and empowerment; </li> <li>Support stakeholders with training, guidance, and thoughtful support to increase autonomy over time; </li> <li>Advocate for automation, identifying repetitive tasks and building systems to reduce manual interventions; </li> <li>Collaborate with Core BI and other analytics teams to align on best practices, tooling, and handover protocols. </li> </ul> <p><strong>What you'll bring </strong></p> <ul> <li>Bachelor’s/Master’s degree in a quantitative field (e.g., statistics, mathematics, economics, data science, or related);</li> <li>Strong SQL and Python proficiency and ability to develop efficient and well-structured queries;</li> <li>Experience working with Databricks or familiarity with notebook-style development environments; </li> <li>Excellent communication skills, with the ability to