Pricing Data Analyst

Live Nation Entertainment•Los Angeles, CA

2d•$62,000 - $78,000•Hybrid

About The Position

Ticketmaster’s Pricing & Distribution team is an industry leading product and service provider focused on unlocking the ability for our clients to sell their products to the right customers at the right time and channel in ways that maximize yield via data driven revenue and demand optimization. We are seeking a highly motivated and technically skilled Pricing Data Analyst to join our team and turn pricing data into pricing actions. You will be working on some of the most interesting and challenging problems in the sports, arts, family, and concert areas and you will have the opportunity to derive data-driven insights, convert them to actionable recommendations, and communicate those recommendations directly to our clients. You will help achieve these outcomes by building AI workflows that scale our analysis, developing reusable pipelines and frameworks that codify how we approach pricing problems, and partnering with our consulting and managed-service teams on pricing strategy. The ideal candidate brings strong data-minded instincts alongside analytical depth -- someone who moves quickly, builds AI-powered tools, and accelerates how we turn data into decisions.

Requirements

Bachelor’s Degree in Statistics, Math, Computer Science, Information Technology, Economics, or related fields.
Advanced proficiency in Python and SQL, with experience contributing to data pipelines, automations, and shared code repos.
Hands-on experience building with AI/LLM APIs (e.g., Claude, OpenAI, or equivalent)—writing and chaining prompts, integrating AI into analytical workflows, and shipping AI-assisted tooling.
Strong statistical foundation with experience building predictive models (forecasting, regression, classification, or ML).
Experience with data warehousing and visualization tools (Databricks, Tableau, Domo, Quicksight, etc.).
Comfortable with PowerPoint and Excel for client deliverables.
Resourceful problem-solving skills.
Strong written and verbal communication skills with the ability to communicate technical processes and results to non-technical audiences.

Nice To Haves

Experience in revenue management and pricing optimization, particularly within the live entertainment and ticketing industry, is a plus.

Responsibilities

Build AI-powered tools and automated workflows that replace recurring manual analytical work to help the team deliver insights faster and at greater scale.
Contribute to and expand upon the team’s data pipelines using Python and SQL to ingest and transform raw pricing, inventory, sales, and demand data into curated views.
Develop scalable analytical frameworks that turn ad-hoc analyses into templated notebooks, processes, and dashboards that can be applied consistently across clients.
Partner with Consulting and Managed Pricing teams to develop a deep understanding of client data to identify trends and opportunities for improvement.
Prototype emerging AI technologies and capabilities -- including LLMs, prompt-driven pipelines, and agentic workflows -- to keep the team’s toolkit at the forefront of what is possible.
Build predictive models for sell-through and yield management optimization, using both traditional statistical methods and machine learning techniques.
Use business intelligence tools to communicate insights through dashboards and reports to internal stakeholders when appropriate.
Collaborate with internal stakeholders and external clients to define project scope, develop hypotheses, execute analyses, and present results.
As business needs evolve, additional responsibilities and projects may be assigned.