
Paid Intern - Pricing Analyst
Ticketmaster
Beverly Hills, CAThis was removed by the employer on 3/12/2025 10:34:00 AM PST
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This is a Part Time Paid Internship
PRICING ANALYST INTERN
Location: Hollywood, CA
Division: Ticketmaster NA - Global Sales Operations
Line Manager: Manager, Managed Pricing Services
Internship Terms: 6-Month Term commencing May 2025 working up to 29 hours per week
THE TEAM
Ticketmaster's Global Sales Operations group strives to be the partner of choice for our clients. Our mission is partner with markets to empower clients with business solutions that drive and align their commercial growth with Ticketmaster. We do this through a variety of services, including, product marketing, B2B marketing, sales enablement, commercial strategy and services, and more. We advocate for our clients across the product lifecycle, building our B2B narrative across strategic priorities, from strategic planning to launch and adoption. This team serves as the glue between across sales, product, & lines of business all in service of clients.
THE INTERNSHIP
We are seeking a highly motivated and detail-oriented Pricing Analyst Intern to join our team and gain hands-on experience in researching and exploring trends with client data. In this role, you will have the opportunity to work on small projects, learn how to use business intelligence tools to analyse and interpret data, and develop insights that drive business decisions.
THROUGHOUT YOUR TIME WITH US YOU WILL
• Use business intelligence tools to create visualizations, dashboards, and reports that communicate insights from the data.
• Develop an understanding of client data and use this knowledge to identify trends and opportunities for improvement.
• Analyse sales and demand data to identify trends and recommend pricing strategies.
• Develop and maintain key performance indicators such as margin percentage, expired inventory percentage, and sell through percentage to evaluate personal and company performance.
• Monitor real-time sales and market data to adjust pricing strategies and ensure client goals.
• Collaborate with the data analysis team to define and solve problems and improve data analysis processes and procedures.
• Communicate findings and recommendations to clients and internal stakeholders through presentations, reports, and other methods.
YOU WILL PROBABLY BE A GOOD FIT IF YOU
• Are currently enrolled in a post-secondary program in Computer/Data Science, Statistics, Mathematics, or a related field that requires participation in a co-op/internship placement as part of the curriculum to graduate.
• Basic proficiency in using business intelligence tools such as DOMO, Tableau, Power BI, or Excel.
• Good analytical and problem-solving skills.
• Proven ability to work independently and manage multiple tasks and priorities.
• Excellent communication and interpersonal skills.
• Familiarity with programming languages such as Python or R. is a plus!
LIFE AT TICKETMASTER
We are proud to be a part of Live Nation Entertainment, the world's largest live entertainment company.
Our vision at Ticketmaster is to connect people around the world to the live events they love. As the world's largest ticket marketplace and the leading global provider of enterprise tools and services for the live entertainment business, we are uniquely positioned to successfully deliver on that vision.
We do it all with an intense passion for Live and an inspiring and diverse culture driven by accessible leaders, attentive managers, and enthusiastic teams. If you're passionate about live entertainment like we are, and you want to work at a company dedicated to helping millions of fans experience it, we want to hear from you.
Our work is guided by our values:
Reliability - We understand that fans and clients rely on us to power their live event experiences, and we rely on each other to make it happen.
Teamwork - We believe individual achievement pales in comparison to the level of success that can be achieved by a team.
Integrity - We are committed to the highest moral and ethical standards on behalf of the countless