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For Companies At a Glance
- Tasks: Lead analytics initiatives to enhance gaming products and drive financial success.
- Company: Superbet is a global tech company revolutionising sports betting and gaming experiences.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Join a fast-growing team and make a real impact in the gaming industry.
- Qualifications: Experience in data analysis, business intelligence, and leading analytics teams required.
- Other info: Be part of a company recognised for its innovative approach and global expansion.
The predicted salary is between 54000 - 84000 £ per year.
Join to apply for the Head of Analytics Gaming role at Superbet. It’s an exciting time to join Superbet, as we expand into new markets, develop innovative technologies, and work towards our goal of exciting the world. As our business grows, so does our team of talented individuals, and we’re looking for a new colleague to partner with us to bring these initiatives to life.
What you'll be doing:
- Impact: Support the VP of the Gaming Vertical and the Product and Tech leadership in achieving financial and product objectives by developing analytics capabilities, insights, and decision science.
- Collaborate with Data Engineering, Data Science, and Data Capabilities teams to create solutions that foster a self-service data culture, increasing data literacy and enabling analysts to focus on strategic tasks.
- Analytics and Insight team: Define clear objectives for your team based on company strategy and supported areas. Create metrics frameworks and decision rules to enhance product and technology outcomes. Develop solutions to optimize gaming product revenues. Map how analytics, insights, and data can improve the gaming experience, portfolio, and performance. Influence product teams with data-driven hypotheses and success measures. Promote ongoing insights generation, improving quality and credibility, and encouraging self-service analytics.
- Team & Culture: Build and develop a high-performing team. Review and redesign team structure for scalability and effectiveness, fostering collaboration and clear accountability. Continuously assess and develop team skills, tools, and processes. Foster a culture of continuous feedback. Implement performance assessments, recognize top performers, and address underperformance. Create a succession plan to ensure talent retention and leadership continuity. Contribute to improving analytics maturity across the organization.
- Delivery focus: Coordinate effort allocation within your team. Align cross-functional efforts with shared objectives. Balance quick wins with long-term projects, avoiding stakeholder request overload. Manage deliverables and timelines effectively. Work closely with stakeholders to refresh roadmaps and implement processes like OKRs. Collaborate with Data teams to accelerate product development and deliver data-driven solutions aligned with company vision. Encourage innovation, ideation, and experimentation.
- Lead by example: Maintain a critical yet fair approach, offering alternatives and fostering a growth mindset. Support peers and promote the evolution of the analytics and insights organization.
We're looking for someone with experience in:
- Data analysis and interpretation to extract meaningful insights and inform decisions.
- Business intelligence, including data visualization and strategic decision-making.
- Statistical analysis and its application to analytics and data science problems.
- Stakeholder management, aligning analytics initiatives with business objectives.
- Leading analytics, data science, or insights teams, preferably at a senior or head level.
- Developing and implementing data-driven strategies for business growth.
- Using analytics and statistical methods to derive business value.
- Excellent communication and leadership skills for cross-functional collaboration.
About Superbet Group: Superbet is a global tech and entertainment company dedicated to delivering innovative sports betting and gaming experiences worldwide. Founded in 2008 in Romania, it operates in over 12 countries, including key markets in Romania, Belgium, Poland, Serbia, and Brazil. The company’s growth strategy emphasizes expansion across Europe and Latin America, driven by innovation, responsible technology, and partnerships with sports clubs and athletes.
Global Recognition and Standards: In 2019, Blackstone Inc. invested €175 million in Superbet, recognizing its vision and achievements. In 2025, Superbet secured a €1.3 billion refinancing deal, strengthening its financial position and supporting accelerated global growth. The company is committed to compliance and best practices, being an active member of IBIA and EGBA.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Business Development and Sales
Industries: Entertainment Providers
Head of Analytics Gaming employer: Superbet
Contact Detail:
Superbet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics Gaming
✨Tip Number 1
Network with professionals in the gaming and analytics sectors. Attend industry events, webinars, or meetups to connect with potential colleagues or mentors who can provide insights into the role and company culture at Superbet.
✨Tip Number 2
Familiarise yourself with the latest trends in data analytics and gaming technology. Being knowledgeable about current innovations will not only help you in interviews but also demonstrate your passion for the industry.
✨Tip Number 3
Prepare to discuss specific examples of how you've led analytics teams or projects in the past. Highlight your experience in developing data-driven strategies that align with business objectives, as this is crucial for the Head of Analytics Gaming role.
✨Tip Number 4
Showcase your leadership style and how you foster a high-performing team culture. Be ready to share your approach to performance assessments and talent retention, as these are key aspects of the role at Superbet.
We think you need these skills to ace Head of Analytics Gaming
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, business intelligence, and team leadership. Use specific examples that demonstrate your ability to develop analytics capabilities and drive business growth.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Superbet and how your skills align with their goals. Mention your experience in leading analytics teams and your approach to fostering a self-service data culture.
Showcase Your Achievements: When detailing your past roles, focus on quantifiable achievements. For instance, describe how your analytics strategies improved product revenues or enhanced decision-making processes within your previous teams.
Prepare for Potential Questions: Anticipate questions related to your experience with stakeholder management and your approach to building high-performing teams. Be ready to discuss how you would implement performance assessments and foster a culture of continuous feedback.
How to prepare for a job interview at Superbet
✨Understand the Company and Its Goals
Before your interview, take some time to research Superbet's mission, values, and recent developments. Understanding their expansion into new markets and innovative technologies will help you align your answers with their goals and demonstrate your genuine interest in the company.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis to drive business decisions in your previous roles. Highlight your experience with metrics frameworks and decision rules, as these are crucial for the Head of Analytics Gaming position.
✨Emphasise Team Leadership Experience
Since this role involves building and developing a high-performing team, be ready to share your experiences in leading analytics or insights teams. Discuss how you've fostered collaboration, implemented performance assessments, and created succession plans in your past roles.
✨Prepare for Cross-Functional Collaboration Questions
Expect questions about how you would work with various teams, such as Data Engineering and Data Science. Be prepared to explain how you would align analytics initiatives with business objectives and manage stakeholder expectations effectively.
