Lead Analyst

$112,600 - $140,700/Yr

DraftKings - Boston, MA

Full-time - Senior

Boston, MA

Amusement, Gambling, and Recreation Industries

About the position

As a Lead Analyst at DraftKings, you will utilize advanced modeling techniques and data-driven insights to enhance the marketing acquisition process and inform strategic decision-making. This role focuses on optimizing marketing effectiveness through robust forecasting frameworks and analytical rigor, empowering leadership with actionable insights to maximize acquisition impact.

Responsibilities

• Design and implement advanced modeling techniques to improve attribution accuracy and marketing mix performance across customer touchpoints.
• Develop and maintain models powering acquisition forecasting and guide strategic marketing investments.
• Define measurable goals and create interactive dashboards to monitor key marketing and acquisition performance metrics.
• Partner with marketing operators and stakeholders to define business problems and deliver analytically rigorous solutions that enhance ROI.
• Communicate key results and actionable insights to executive leadership.
• Collaborate cross-functionally with teams focused on Marketing and core products, including Sportsbook, Casino, and Fantasy Sports.

Requirements

• Bachelor's degree or equivalent in Mathematics, Statistics, Economics, Computer Science, Engineering, Business Analytics, or another relevant discipline.
• At least 6 years of experience in business analytics or data science, with a proven track record in marketing analytics.
• Expertise in advanced statistical modeling, marketing mix modeling, and predictive analytics.
• Strong ability to distill complex problems into actionable frameworks and communicate results effectively to cross-functional stakeholders.
• Proficiency in SQL/Snowflake and Microsoft Excel, with experience managing large-scale data analysis projects.
• Extensive experience with A/B testing, experimental design, and other analytical testing methods.
• Proficiency in Tableau or similar data visualization tools to create impactful dashboards and reports.
• Solid foundation in statistics, hypothesis testing, and optimization techniques.
• Experience with R, Python, or statistical programming languages is highly desirable.

Nice-to-haves

• Experience with statistical programming languages such as R or Python.

Benefits

• Bonus opportunities
• Equity options
• Comprehensive health benefits
• Flexible work arrangements
• Professional development opportunities