DraftKings is looking to leverage AI to enhance customer experiences, streamline operations, and unlock new possibilities. The Platform Analytics team needs an Analyst II to generate insights from data, power fact-based decision-making, and improve user experience across their Sportsbook, Casino, and Fantasy products.
Requirements
- Advanced proficiency in SQL, with hands-on experience using Snowflake or similar data warehousing platforms.
- Expertise in data visualization tools such as Tableau or Sigma, with a track record of creating impactful dashboards and reports.
- Proven expertise in extracting insights from large datasets and presenting findings to cross-functional audiences.
- Conduct A/B testing and other experiments to assess the impact of product changes.
- Strong analytical and problem-solving skills
Responsibilities
- Execute on open-ended analyses while prioritizing high impact work, accounting for full customer lifecycle.
- Serve as a strategic problem solver, using data to better understand user behavior and make recommendations to improve user experience.
- Create compelling, high-quality presentations to effectively communicate key findings, insights, and actionable recommendations to stakeholders.
- Conduct A/B testing and other experiments to assess the impact of product changes.
- Partner closely with cross-functional teams, including product managers, engineers, and operational leaders, to align on objectives and support key business initiatives.
- Build and maintain tools and workflows.
- Inform the team's current and future initiatives.
Other
- At least 2 years of experience in analytical roles in a relevant industry, preferably technology, product, or e-commerce.
- Bachelor's Degree in Mathematics, Data Science, Engineering, Economics, Business, Computer Science, or a related field.
- Demonstrated ability to thrive in a fast-paced, results-oriented environment, managing multiple priorities and meeting deadlines.
- Excellent written and verbal communication abilities.
- Mentor and support team members, fostering a collaborative, data-driven culture of continuous learning and improvement.
