LA Kings - Sr. Data Analyst

AEG Worldwide • El Segundo, CA

2d • $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

• Excellent interpersonal and communication skills (written and oral) for effective interaction with all levels within the company and outside the company
• Advanced knowledge of Adobe Creative Suite, specifically Adobe Premiere, Media Encoder and Photoshop
• Firm understanding of video compression and standard codecs used for broadcast and digital
• Creative and skilled in non-linear storytelling
• Ability to produce content through written scripts, interviews and b-roll
• Ability to work efficiently in a highly demanding and time sensitive environment
• Ability to be flexible under pressure.
• Strong sense of project ownership and dedication to delivering outstanding results
• Excellent time management skills. Be able to complete projects under deadline with little supervision.
• Should have a sense of humor and have experience working with a team.
• Must be available to work nights, holidays, weekends and travel during the hockey season (September – June)
• Must include links to portfolio and work examples
• BA/BS Degree in mathematics, engineering, physics, or related quantitative field
• 2+ years of related work experience as a data scientist, pricing analyst, data analyst, or equivalent
• Data Science certification required, Masters in Data Science preferred
• Proficiency using SQL, Python, and Spark
• Rigorous attention-to-detail, keen critical thinking skills, and pragmatic problem-solving mindset
• Proven experience developing 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 noon-technical team members
• Ability to work independently to accomplish work objectives, while also thriving in a team environment

Nice To Haves

• Basic knowledge of Adobe After Effects is a plus
• Strong knowledge of lighting techniques and sound recording preferred.
• Strong eye for detail. Be able to notice a missing frame or out-of-sync audio. 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.
• Contribute to the full data science lifecycle from model design, development, deployment, and maintenance.
• 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.

Benefits

• medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees