Pricing & AI Analytics Lead

On Location; Los Angeles (CA); On-site; USD 56,000 - 75,000; Full time

Job summary

On Location in Los Angeles is seeking a data and analytics enthusiast to modernize how pricing and yield teams operate. You will own AI adoption, dashboards in Omni, and provide cross-functional analytical support to drive smarter decisions for one of the world’s largest hospitality programs.

This role emphasizes autonomy, collaboration, and the ability to translate data into actionable insights for Product, Sales, and Ticketing.

Qualifications

• 2–4 years of experience in data analysis, BI, product/pricing operations, or analytics.
• Strong dashboard-building skills in Omni (or Tableau, Power BI, or similar).
• Genuine enthusiasm and aptitude for AI tools and adoption.
• Proficiency in Airtable and Excel/Google Sheets; SQL a plus.
• Strong analytical mindset — connect pricing, sales, and inventory health.
• Excellent communication to translate data for non-technical teams.
• Autonomous, cross-functional work style in a fast-paced environment.
• Curiosity, adaptability, and entrepreneur mindset.

Responsibilities

• Be the Omni expert — design, build, and maintain pricing and inventory dashboards.
• Translate data into clear, decision-ready insights and leadership visuals.
• Deliver ad-hoc analytical work for Commercial Strategy, Product, and Ticketing.
• Support Business Strategy & Analytics initiatives with data, reporting, and analysis.
• Document workflows and build low-code automations to streamline work.
• Collect, validate, and maintain product, inventory, and pricing data across Omni, Airtable, and Optimo.

Skills

Data analysis

Business intelligence

Pricing operations

Analytics

SQL

Excel/Sheets

Automation

Tools

Omni

Tableau

Power BI

Airtable

Excel

SQL

Job description

On Location in Los Angeles is seeking a data and analytics enthusiast to modernize how pricing and yield teams operate. You will own AI adoption, dashboards in Omni, and provide cross-functional analytical support to drive smarter decisions for one of the world’s largest hospitality programs.

This role emphasizes autonomy, collaboration, and the ability to translate data into actionable insights for Product, Sales, and Ticketing.