Analyst II, Sportsbook Pricing

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, you'll focus on surfacing and structuring the right data to empower analytics teams across the organization. You'll deepen our understanding of our pricing quality through new data sources and metrics that provide visibility into each part of our sportsbook pricing pipeline. Partnering closely with data engineering, product, trading, and data science teams, you’ll identify opportunities to improve pricing health, model performance, and trading strategy. Your work will make high-value data accessible and actionable for key stakeholders, enabling smarter, better, and faster decisions through new strategies and frameworks.

What you'll do as an Analyst II, Sportsbook Pricing

• Uncover and democratize large volumes of customer, pricing, and sportsbook data to power analytics use cases, enabling a deeper understanding of pricing quality and model performance.
• Engineer new metrics and create new action cycles around the impacts of each part of our pricing lifecycle.
• Collaborate with trading and data science to implement new strategies and build new frameworks for evaluating pricing performance.
• Translate open-ended business problems into repeatable analytical frameworks that guide data-driven prioritization and action.
• Identify gaps in data availability and usability, helping shape the roadmap for future data discovery, engineering, and tooling work.

What you'll bring

• At least 2 years of experience in business analytics or data science.
• Bachelor’s degree or equivalent in Mathematics, Statistics, Economics, Computer Science, Engineering, Business Analytics, or another relevant discipline.
• Practical experience with SQL/Snowflake and Tableau. Python, R, or another statistical programming language is a plus.
• Aptitude for taking on complicated problems and turn them into simple, analytical frameworks.
• Ability to work in a fast-paced, results-driven environment.

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