Analyst II, Sports Marketing

About the position

We're defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, "impossible" isn't part of our vocabulary. You'll face some of the toughest but most rewarding challenges of your career. They're worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. As an Analyst II, Sports Marketing, you will support the quantitative evaluation of sports marketing initiatives, seasonal tentpoles, and key partnership performance. In this role, you will conduct analysis on deals across media, marketing, talent, and partners to evaluate performance across financial, brand, and competitive metrics to support recommendations to our Growth Marketing and Executive Leadership Teams.

Responsibilities

• Improve share of voice modeling that will support marketing in spend decisions.
• Provide quantitative analysis and strategic direction to partnership efforts across a number of disciplines including: Team & Leagues, Media, Talent & Influencer partnerships.
• Perform a variety of ad-hoc quantitative analysis to understand how DK differs from competitors and what choices and external factors are driving performance.
• Collaborate with internal teams and external vendors to extract value from market intelligence tools and datasets.
• Build analytical frameworks to improve marketing channel performance.
• Partner with marketers and cross-functional teams to frame business problems and deliver analytically rigorous, actionable recommendations.
• Present key findings to senior leadership and support strategic decision-making.

Requirements

• At least 2 years of experience in Data Analytics, Business Intelligence, or a related field.
• Bachelor's degree in a quantitative discipline (e.g., Mathematics, Statistics, Economics, Computer Science, Engineering, Business Analytics).
• Proficiency in SQL/Snowflake and Excel for large-scale data analysis.
• Experience with Tableau (or equivalent) for building data visualizations and performance dashboards.
• Strong communication skills and ability to synthesize and present insights to cross-functional teams.
• Proven ability to work independently, prioritize across multiple projects, and deliver in a fast-paced environment.

Nice-to-haves

• Familiarity with Python, R, or other statistical tools is a plus.

Benefits

• Bonus
• Equity
• Benefits as applicable