Company Information
For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!

JOB DESCRIPTION:

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.

 ESSENTIAL FUNCTIONS:

• 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.

SPECIFIC JOB KNOWLEDGE, SKILL AND ABILITY:

The Sr. Data Analyst must possess the following knowledge, skills and abilities and be able to explain and demonstrate that he or she can perform the essential functions of the job, with or without reasonable accommodation, using some other combination of skill and abilities:

• 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.
• 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.
• Must be available to work nights, holidays, weekends and travel during the hockey season (September – June)
• Must include links to portfolio and work examples

QUALIFICATION STANDARDS:

Education:

• BA/BS Degree in mathematics, engineering, physics, or related quantitative field

Experience:

• 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
• Experience or interest in sports/live entertainment a plus

Payscale: $79,000 - $100,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits Full-time: We offer a comprehensive benefits package that includes: 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.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

Employer does not offer work visa sponsorship for this position.

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