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 As an Analyst II, Sportsbook, you'll leverage product, trading, and customer play data to drive our current and future initiatives. You will develop data analysis and reports to measure and inform Sportsbook initiatives and use those insights to guide business decisions. Through cross-functional collaboration and inventive metrics building, you will enable teams across our organization to make smarter, better, and faster decisions. What you'll do as an Analyst II, Sportsbook Monitor sportsbook performance and diagnose areas of opportunity. Example areas include high-value customer analysis, state and sport trends, and competitive analysis. Analyze customer behavior and conduct experiments to measure the direct impact of new merchandising, product, and trading initiatives. Build highly detailed reports to quickly diagnose trends within core success metrics and to inspire new ways of thinking about our customers and product. Drive new workflows for the expanding Sportsbook team, conducting open-ended research to generate ideas and optimize processes. Collaborate cross-functionally to deliver your insights and recommendations to key stakeholders across Operations, Trading, Product, and Data Science. What you'll bring At least 2 years of professional experience in Business Analytics or Data Science. Bachelor's degree (or equivalent) in Mathematics, Statistics, Economics, Computer Science, Engineering, Business Analytics, or another related discipline. Proven ability to translate complex analytical findings into actionable recommendations for partners through clear storytelling and impactful data visualizations. Experience in SQL and/or Snowflake and strong proficiency in Tableau (or similar data visualization tool). Experience with R, Python, or other statistical programming languages is a plus. Professional experience with hypothesis testing, statistical methods, and knowledge of model building. Ability to thrive in a fast-paced, dynamic work environment.
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