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Analyst II, Casino Analytics

DraftKings

Analyst II, Casino Analytics

full-timePosted: Aug 25, 2026Updated: Sep 3, 2026MA, Boston

Job Description

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 YoursAs an Analyst II, Casino Analytics, you'll turn data into decisive action that strengthens our operations and fuels smarter decision-making. You'll partner across teams to evaluate workflows, uncover emerging trends, and build reporting infrastructure that keeps our business running at scale. In this role, you'll translate complex analyses into clear insights that shape strategy, improve efficiency, and support high-impact initiatives across evolving products and markets. Your work will drive visibility, scalability, and continuous improvement across the organization.What you'll doTransform complex, large-scale datasets into strategic insights that shape business decisions and unlock sustainable growth across the organization.Translate sophisticated analyses into clear, compelling narratives that influence stakeholders at multiple levels and drive alignment on key priorities.Lead the design, execution, and analysis of experiments, proactively identifying opportunities to accelerate learning and optimize performance.Partner with cross-functional teams to refine strategic initiatives, improve performance across channels, and drive measurable business outcomes.Build, automate, and continuously improve scalable reporting frameworks and dashboards that empower teams to make faster, data-driven decisions.What you'll bringBachelor's degree in Mathematics, Data Science, Engineering, Economics, Business, or a related field.At least 2 years of analytics or data science experience.Familiarity with programming languages such as SQL, Python, R, SAS, or Matlab.Strong understanding of statistics and hypothesis testing; experience building models is a plus.Ability to translate complex data into clear, compelling insights for diverse audiences.Curiosity, problem-solving skills, and a demonstrated ability to uncover new insights from data.#LI-AC2 Join Our TeamWe’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 78,400.00 USD - 98,000.00 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.

Locations

  • MA, Boston

Skills Required

  • programming languages such as SQLintermediate
  • models is a plusintermediate

Required Qualifications

  • Bachelor's degree in Mathematics, Data Science, Engineering, Economics, Business, or a related field. (degree in mathematics)
  • At least 2 years of analytics or data science experience. (experience, 2 years)
  • Familiarity with programming languages such as SQL, Python, R, SAS, or Matlab. (experience)
  • Strong understanding of statistics and hypothesis testing; experience building models is a plus. (experience)
  • Ability to translate complex data into clear, compelling insights for diverse audiences. (experience)
  • Curiosity, problem-solving skills, and a demonstrated ability to uncover new insights from data. (experience)
  • Bachelor's degree in Mathematics, Data Science, Engineering, Economics, Business, or a related field. (degree in mathematics)
  • At least 2 years of analytics or data science experience. (experience, 2 years)
  • Familiarity with programming languages such as SQL, Python, R, SAS, or Matlab. (experience)
  • Strong understanding of statistics and hypothesis testing; experience building models is a plus. (experience)
  • Ability to translate complex data into clear, compelling insights for diverse audiences. (experience)
  • Curiosity, problem-solving skills, and a demonstrated ability to uncover new insights from data. (experience)

Responsibilities

  • Transform complex, large-scale datasets into strategic insights that shape business decisions and unlock sustainable growth across the organization.
  • Translate sophisticated analyses into clear, compelling narratives that influence stakeholders at multiple levels and drive alignment on key priorities.
  • Lead the design, execution, and analysis of experiments, proactively identifying opportunities to accelerate learning and optimize performance.
  • Partner with cross-functional teams to refine strategic initiatives, improve performance across channels, and drive measurable business outcomes.
  • Build, automate, and continuously improve scalable reporting frameworks and dashboards that empower teams to make faster, data-driven decisions.
  • Transform complex, large-scale datasets into strategic insights that shape business decisions and unlock sustainable growth across the organization.
  • Translate sophisticated analyses into clear, compelling narratives that influence stakeholders at multiple levels and drive alignment on key priorities.
  • Lead the design, execution, and analysis of experiments, proactively identifying opportunities to accelerate learning and optimize performance.
  • Partner with cross-functional teams to refine strategic initiatives, improve performance across channels, and drive measurable business outcomes.
  • Build, automate, and continuously improve scalable reporting frameworks and dashboards that empower teams to make faster, data-driven decisions.

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