Pricing Data Analyst

Posted 22hrs ago

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Job Description

Pricing Data Analyst at Ticketmaster leveraging data to drive revenue through AI tools and workflows. Collaborate on pricing strategies, manage analyses, and automate insights.

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

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