LA Kings - Sr. Data Analyst

AEG Worldwide•El Segundo, CA

1d•$79,000 - $100,000•Onsite

About The Position

The Sr. Data Analyst will play a pivotal role in maximizing revenue and driving dynamic pricing strategy across ticketing products and fan segments. Using statistical modeling and machine learning, this role will measure price elasticity, forecast revenue, and predict customer demand. The position will collaborate closely with cross-functional teams, including Sales, Service, Marketing, and Operations, to deploy scalable data science tooling, drive decision-making, and optimize sales.

Requirements

BA/BS Degree in mathematics, engineering, physics, or related quantitative field
Bachelor’s degree in mathematics , engineering, physics, or related quantitative field
2+ years’ experience as a data scientist, pricing analyst, data analyst, or equivalent
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 p roven 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 n o n -technical team members
Ability to work independently to accomplish work objectives , while also thriving in a team environment

Nice To Haves

Data Science certification , master’s degree in d ata s cience , s tatistics, c omputer s cience, e ngineering, e conomics, a nalytics 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

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.