Analyst II, Sportsbook

DraftKings Inc.Boston, MA
9d

About The Position

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As an Analyst II on the Sportsbook Product Analytics Team, you’ll turn data into action that shapes the evolution of our digital sportsbook experience. You’ll partner closely with Product, Engineering, and Operations teams to uncover opportunities, measure performance, and guide product strategy through data-driven insights. In this role, you’ll analyze customer behavior, evaluate new features, and influence how millions of customers engage with our platform. Your work will directly impact product innovation, customer experience, and business performance at scale.

Requirements

  • A Bachelor’s Degree in Mathematics, Statistics, Computer Science, Business Analytics, or a related quantitative field.
  • At least 2 years of experience in analytics or data science.
  • Proficiency in SQL and experience working with data visualization tools such as Tableau; familiarity with Python or R is a plus.
  • Strong understanding of statistics and hypothesis testing, with experience designing and analyzing experiments.
  • Ability to translate complex analyses into clear, compelling insights for cross-functional stakeholders.
  • Curiosity and a problem-solving mindset, with a desire to learn a complex and evolving business.
  • Comfort working in a fast-paced environment and collaborating across teams to drive impact.

Responsibilities

  • Transform complex product and customer data into actionable insights that inform roadmap prioritization and product strategy.
  • Partner with cross-functional teams to evaluate feature performance, identify opportunities, and drive measurable improvements in customer engagement.
  • Design, execute, and analyze A/B tests, translating results into clear recommendations that shape future product development.
  • Build and enhance scalable reporting frameworks to monitor product health, customer behavior, and key performance metrics.
  • Conduct deep-dive analyses on customer journeys and product experiences to uncover trends and inspire new ways of thinking.
  • Define data requirements and collaborate with Data Engineering partners to ensure reliable, high-quality datasets.
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