At Draft Kings, 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 I on the Customer Forecasting team, you’ll shape how we evaluate and optimize marketing performance across the business. You’ll uncover trends, support machine learning initiatives, and build dashboards that guide high-impact decisions. Partnering with teams across marketing, finance, and analytics, you’ll drive smarter spend strategies and more accurate forecasts. Your curiosity and analytical skills will directly influence how we allocate resources and refine our marketing approach.

What you’ll do as an Analyst I, Customer Forecasting

• Leverage forecasting and data analysis techniques to measure, monitor, and predict new customer acquisition trends.

• Collaborate with cross-functional teams to analyze data, interpret findings, and identify key drivers, risks, and opportunities within forecasts.

• Develop and enhance machine learning models, automated tools, and Tableau dashboards to improve forecast accuracy and business visibility.

• Translate complex datasets into clear, actionable insights that inform decision-making across stakeholders.

• Continuously evaluate and refine forecasting methodologies by incorporating new data sources and analytical approaches.

• Support ad-hoc analyses and high-impact projects that drive innovation and inform long-term marketing strategy.

• Champion best practices in data integrity, reporting, and automation to ensure consistent and reliable insights.

What you’ll bring

• Bachelor’s Degree in a quantitative field such as Statistics, Mathematics, Economics, Engineering, Business Analytics, or a related discipline.

• At least 1 year of business analytics or data science experience, in a work or academic setting.

• Knowledge of statistical methods, predictive modeling techniques (e.g., regression, classification), and working with large datasets.

• Experience with SQL or Snowflake, Python, and data visualization tools such as Tableau or similar platforms.

• Exposure to machine learning concepts, model evaluation, and tools such as Databricks, Airflow, XGBoost, or version control systems is a plus.

• Familiarity with A/B testing, experimental design, and hypothesis testing methodologies.

• Strong communication, analytical, and problem-solving skills, with the ability to translate data into insights.

• Curiosity to learn about a complex business and a desire to grow as an analyst in a fast-paced, results-driven environment.

Join Our Team

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

The US base salary range for this full-time position is 64,000.00 USD - 80,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.