Head of Data Analytics

At LeoVegas, our mission is to provide the ultimate gaming experience by ensuring our product decisions are fueled by world-class data. As our new Head of Data Analytics, you will be a key strategic partner to our data leadership team, helping to drive our long-term data vision forward. We are looking for a senior expert with deep experience in the data and analytics field who can take full ownership of our strategy from day one. You won’t just be managing a team; you’ll be shaping the future of how we understand player behavior and product performance, with the opportunity to mentor a high-performing group of analysts across several international locations. You will be responsible for recruiting, leading and managing a talented team of 7 analysts across Malta, Sweden, Italy, and Poland, fostering a culture of excellence, collaboration, and continuous learning. Acting as a key collaborator for Product Managers and Data Engineering teams, you will align our data efforts with core business goals. You will lead projects, such as analyzing the ROI of self-developed features and optimizing player usage through behavioral data. Proactively identifying improvements in technology and direction, you will provide strategic input to senior stakeholders. You will develop and implement strategies for leveraging data analytics to drive business objectives and enhance operational efficiency. Working closely with cross-functional teams, you will streamline processes, manage stakeholder relationships, enhance efficiency, and drive continuous improvement initiatives. You will oversee the delivery of regular reports for senior management, ensuring that key performance indicators, trends, and areas for improvement are highlighted. Staying abreast of advancements in data analytics technology and tools, you will evaluate their potential impact on business analysis capabilities and recommend adoption as appropriate.

Proven Leadership: Experience leading and growing people, with a focus on delivering clear business value. Technical Proficiency: Strong hands-on skills in SQL and Python, with the ability to visualize complex data into concise, actionable insights. Strategic Mindset: Extensive experience using data to drive large-scale business decisions and presenting findings to senior stakeholders. Behavioral Traits: A humble, adaptable approach—someone who is not afraid to say 'I don't know, but I'll find out,' and who thrives on driving change. Nice to Haves: Product Analytics Expertise: Previous experience with behavioral data tools (like Google Analytics or Mix Panel) and experimentation. BI Knowledge: Experience working with data visualisation tools. Statistical Foundation: Working experience with statistical techniques.