We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.

Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.

The Crown Is Yours

We're seeking a data-driven, collaborative manager to lead our Casino Analytics team. In this role, you'll guide efforts to define and monitor product health metrics, support the product roadmap with data insights and experimentation, and partner closely with product and engineering teams to enhance player experiences across mobile and web. Join us to drive product performance, optimize features, and shape the future of our casino offerings.

What you'll do as a Manager, Product Analytics

• Lead and mentor a team of analysts focused on tracking, optimizing, and communicating casino product health.
• Define and maintain key product KPIs aligned with strategic goals and performance benchmarks.
• Deliver actionable insights through deep-dive analyses, compelling presentations, and collaboration with stakeholders.
• Oversee the development and adoption of dashboards and self-service tools to monitor product performance.
• Partner with product and data engineering teams to ensure analytics infrastructure supports strategic decision-making.

What you'll bring

• At least 5 years of experience in business analytics or data science, with a background in technology, consulting, or e-commerce industries.
• A Bachelor’s degree or equivalent in a relevant field such as Mathematics, Statistics, Economics, Computer Science, Engineering, or Business Analytics.
• Expertise in SQL/Snowflake, Microsoft Excel, and proficiency in Tableau or similar data visualization tools, with additional skills in R, Python, or statistical programming as a plus.
• Experience in leading and mentoring a team of junior analysts, fostering their career growth while managing complex projects.
• Ability to simplify intricate problems into actionable frameworks and confidently present data insights to senior leadership and cross-functional teams.

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