Job Summary:
AEG is a leading company in sports and live entertainment, hosting numerous events worldwide. The Sr. Data Analyst will maximize revenue through dynamic pricing strategies and collaborate with various teams to optimize sales and decision-making using data analysis and statistical modeling.
Responsibilities:
• Implement and manage dynamic pricing mechanisms to adjust ticket prices in real-time based on factors such as team performance, opponent strength, and event timing.
• Utilize models and data analysis to identify pricing trends, optimize ticket prices, and forecast revenue potential for various seating categories.
• Manage the end-to-end data science lifecycle from model design, development, deployment, maintenance, and model updates.
• Provide expertise, analysis, and guidance for promotional campaigns, ensuring alignment with overall pricing strategies.
• Effectively collaborate with business partners to communicate findings and understand key pricing problems and define strategic priorities.
• Partner closely with the Data Engineering team to structure, validate, and optimize data pipelines and data models for analysis and resolve any data discrepancy.
• Build and maintain SQL-based views across data warehouses, ensuring suitability for reporting, accuracy, performance, and data integrity.
• Communicate findings and next steps to leadership.
Qualifications:
Required:
• BA/BS Degree in mathematics, engineering, physics, or related quantitative field
• 2+ years’ experience as a data scientist, pricing analyst, data analyst, or equivalent
• Data Science certification required
• Expertise in SQL, statistical programming (Python) and Spark
• Rigorous attention-to-detail, keen critical thinking skills, and pragmatic problem-solving mindset
• Strong statistical knowledge and proven experience developing forecasting, demand prediction, and dynamic pricing models, and driving revenue outcomes in a data-driven, agile organization.
• Strong communication skills and ability to work with all levels of employees; must be able to communicate technical aspects to non-technical team members
• Ability to work independently to accomplish work objectives, while also thriving in a team environment
Preferred:
• Master’s degree in data science, statistics, computer science, engineering, economics, analytics or a related quantitative field preferred
• Experience working with MLOps workflows and platforms, including Databricks, Azure ML, SageMaker or similar tools is preferred.
• Experience or interest in sports/live entertainment a plus
Company:
AEG is one of the leading sports and entertainment presenters in the world. AEG, a wholly owned subsidiary of the Anschutz Company, owns, Founded in 1994, the company is headquartered in Los Angeles, USA, with a team of 10001+ employees. The company is currently Late Stage.