DraftKings - Boston, MA

posted 2 months ago

Full-time - Mid Level
Boston, MA
Amusement, Gambling, and Recreation Industries

About the position

The Lead Analyst will leverage 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 advanced model mixing, developing robust forecasting frameworks, and driving analytical rigor within the marketing organization. The Lead Analyst will empower leadership with actionable insights to allocate resources efficiently and maximize acquisition impact.

Responsibilities

  • Design and implement advanced modeling techniques to improve attribution accuracy and marketing mix performance and measurement 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.
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