Pricing Data Analyst

🔥 13 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $62k - $78k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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Ticketmaster

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1976

🛍️ eCommerce

⚽ Sports

eCommerce • Entertainment • Sports

Ticketmaster is a leading ticketing platform that facilitates the sale of tickets for concerts, sports events, theater performances, and other live entertainment. The platform offers a user-friendly experience for purchasing tickets, as well as managing events and finding popular shows and games. Ticketmaster serves as the official ticket marketplace for many major sports leagues and artist events, making it a key player in the live entertainment industry.

📋 Description

• 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

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

🏖️ Benefits

• Medical, vision, dental and mental health benefits for you and your family, with access to a health care concierge, and Flexible or Health Savings Accounts (FSA or HSA) • Free concert tickets, generous paid time off including paid holidays, sick time, and personal days • 401(k) program with company match, stock reimbursement program • New parent programs including caregiver leave and baby bonuses, plus fertility, adoption, foster, or surrogacy support • Career and skill development programs with School of Live, tuition reimbursement, and student loan repayment • Volunteer time off, crowdfunding match