Analyst II, Marketing Analytics

Requirements

• Bachelor's degree or equivalent in Mathematics, Statistics, Computer Science, Engineering, Business Analytics, or another relevant discipline.
• At least 2 years of analytics or data science experience.
• Proficiency in SQL/Snowflake and Excel for large-scale data analysis.
• A strong understanding with A/B testing, experimental design, and analytical testing methodologies.
• Experience working with marketing data and attribution methodologies, or an eager willingness to learn it.
• #LI-AC2
• Join Our Team

Benefits

Additional Information

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 an Analyst II on the Digital Marketing Analytics team, you'll leverage data-driven insights to inform and optimize channel strategy across DraftKings' digital marketing ecosystem. You will play a key role in evaluating and enhancing marketing performance across channels including Paid Social, Programmatic, and Paid Search. In this role, you will also help advance the use of emerging technologies, including LLM-driven tools, to improve analytics capabilities and support our marketing partners in making smarter, faster decisions. What you'll do as an Analyst II, Marketing Analytics Partner closely with marketing stakeholders to understand business objectives, anticipate downstream impacts, and ensure analyses drive decision-making. Own end-to-end analytics for key marketing initiatives, including identifying high-impact opportunity areas, developing analyses to quantify their value, and driving recommendations through to implementation. Develop structured analytical frameworks to evaluate marketing performance, identify drivers of change, and simplify complex business problems. Communicate findings effectively to cross-functional partners and senior leadership, using data storytelling to align on strategy and next steps. Iterate and maintain data products and tools, including a marketing data agent to provide plain text answers to questions from analysts and stakeholders about marketing KPIs.

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