• Analyze large and complex datasets related to maritime/container risk • Develop insights and data models to support product features • Work with Python and Jupyter Notebook for data exploration and analysis • Collaborate closely with developers (Node.js, React, AWS stack) • Contribute to an AI-driven development environment, leveraging tools like Claude, Cursor, etc. • Support data validation and quality processes (team handles QA independently)

• Own Business Intelligence (BI) and product reporting infrastructure • Design, build, and maintain BI dashboards and the underlying data models that power them • Serve as the team's primary owner of reporting infrastructure, ensuring metrics are consistently defined and reliably surfaced across the organization • Ensure reporting reflects current business logic and is applied consistently across dashboards • Monitor core reporting outputs and proactively flag inconsistencies or anomalies • Generate valuable and actionable insights for stakeholders • Translate ambiguous stakeholder questions into well-defined analyses and concrete reporting outputs • Analyze user flows and behavioral patterns to inform product decisions • Produce clear, well-framed deliverables tailored to non-technical audiences • Exercise judgment in prioritizing requests based on organizational impact and strategic alignment • Contribute to data infrastructure • Own semantic modeling supporting core reporting and metric needs • Write clean, tested, and well-documented transformation logic • Ensure new metrics can be reliably used in downstream dashboards • Collaborate on infrastructure changes to avoid bottlenecks and maintain pipeline integrity • Drive reporting adoption and self-service • Drive adoption of reporting tools by enabling teams to access and interpret data independently • Communicate with stakeholders outside the department to obtain or provide information requiring explanation or interpretation • Influence operational decisions through clear presentation of technical findings and dashboards

• Own the development and consistency of Bowtie metrics • Design and deliver reporting for operational performance • Build CRM reporting in partnership with the CRM Business Admin • Provide actionable insights to improve velocity and conversion

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 a Lead Analyst on the Trading Analytics team, you will play a key role in understanding and optimizing how DraftKings participates across prediction-market-style exchanges. You'll partner closely with trading, product, data science, and engineering to evaluate exchange performance, monitor liquidity, and build analytical frameworks that guide our strategy. Your work will strengthen execution quality, pricing consistency, and overall marketplace health. What you'll do as Lead Analyst, Trading Analytics - Assess trading exchange performance by analyzing post-fill customer behavior, latency impacts, and where there might be delays or inefficiencies. - Build analytical frameworks that simplify exchange dynamics into clear, repeatable metrics that guide trading decisions. - Map our liquidity footprint across exchanges, including contract coverage, trading volumes, and performance trends. - Partner with sports traders and trading operations to diagnose issues, improve liquidity allocation, enhance pricing accuracy, and elevate customer experience. - Develop dashboards and reporting that provide real-time visibility into exchange quality and our performance across trading environments. - Deliver insights that inform how we allocate liquidity, structure quoting behavior, and evolve our exchange participation strategy. What you'll bring - At least 5 years of experience in analytics or data science. Experience within sportsbook trading, prediction markets, or financial market microstructure is a plus. - Bachelor's degree or equivalent in Mathematics, Statistics, Economics, Computer Science, Engineering, Business Analytics, or another relevant discipline. - Ability to take on complicated problems and turn them into simple, analytical frameworks. - High proficiency in SQL, Excel, and Tableau (or similar visualization tools). - Experience with R, Python, or another statistical programming language is a plus. - Familiarity with exchange dynamics such as order books, liquidity, fills, and execution quality is a plus. - Ability to thrive in a fast-paced, results-driven environment. #LI-AS1 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 121,000.00 USD - 151,300.00 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.