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 The Loyalty & VIP Analytics team is focused on using data to generate insights, power fact-based decision making across the business, and enable our VIP team to operate more effectively. In this role, you will partner closely with our Loyalty & VIP Growth team, who are responsible for identifying and engaging high-value customers. You will equip our customer-facing team members with data and insights to help them identify and allocate their time to the highest-value opportunities. What you'll do as an Analyst II, Loyalty & VIP Growth Build out testing agendas, datasets, and model frameworks for the identification and treatment of potential VIP customers, as well as to drive strategy for our Dynasty Rewards program. Define measurable goals and create dashboards to monitor the performance of key customer success metrics. Partner with product managers and operators to define business problems and help design analytically-rigorous solutions. Conduct analyst-driven "deep dives" that explore broad topics and inspire new ways of thinking about our customers & VIP/Loyalty programs. Communicate analyses and business results to DraftKings' Loyalty & VIP management. Work cross-functionally across other parts of the Loyalty & VIP organization, and with other teams dedicated to our Sportsbook, Casino, and Fantasy products, and our Marketing organization. What you'll bring Bachelor's degree or equivalent in Mathematics, Statistics, Economics, Computer Science, Engineering, Business Analytics, or another relevant discipline. At least 2 years of experience in business analytics or data science. Practical experience with SQL/Snowflake and Tableau. Python/R experience is a plus. Knowledge of A/B testing, experimental design, and hypothesis testing methods. Curiosity to learn about a complex business and a desire to grow as an analyst.
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