Artificial Intelligence Revenue Analyst

Role Overview

The Artificial Intelligence Revenue Analyst will lead the design, development, and deployment of an AI-powered revenue opportunity detection system. This role sits at the intersection of revenue management, data science, and product development, translating pricing and availability logic into automated, rules-based alerting that identifies lost revenue opportunities across markets, vehicle classes, and booking channels.

What You Will Do

The analyst will own the end-to-end lifecycle of the tool, from defining business rules, to building and testing the interface, to driving adoption with the broader revenue management team. Key responsibilities include translating revenue management expertise into structured rules and logic, partnering with Data Science and Technology teams, and leading the design, testing, and enhancement of revenue management tools and workflows.

Why It Might Be a Fit

The ideal candidate will have a strong understanding of revenue management fundamentals, an analytical mindset, and the ability to translate business logic into structured rules and testable requirements. They will also have experience working with or supporting the build of analytical tools, dashboards, or business rule engines, and successfully driving adoption of analytical solutions in a complex matrix organization.

Requirements

• Minimum 3 years of experience in revenue management, pricing, finance, or financial/process engineering
• Demonstrated experience optimizing for measurable, incremental revenue outcomes across cross-functional teams or data sets
• Experience working with or supporting the build of analytical tools, dashboards, or business rule engines
• Experience successfully driving adoption of analytical solutions in a complex matrix organization
• Strong understanding of revenue management fundamentals: pricing strategy, availability/inventory management, demand forecasting, and yield optimization
• Analytical mindset with the ability to translate business logic into structured rules and testable requirements
• Proficiency with data analysis tools (SQL, Excel, and/or BI platforms such as Tableau or Power BI)
• Familiarity with AI/ML concepts (anomaly detection, alerting logic, rules-based automation)
• Excellent communication skills, with the ability to bridge technical and business audiences
• Strong project management instincts: comfortable owning a roadmap, coordinating stakeholders, and driving a product from concept to adoption

Benefits

• Access to Medical, Dental, Vision, Life and Disability insurance
• Eligible to elect other voluntary benefits including: Group Auto Insurance, Group Home Insurance, Pet Insurance, Legal Assistance, Identity Theft Protection, FSA, Accident Insurance, Critical Illness Insurance, and additional life insurance coverages
• 401(k) Retirement Plan with company matched contributions
• Full training to learn the business and enhance professional skills
• Employee discounts, including discounted prices on the purchase of Avis/Budget cars
• Access to an Employee Assistance Program for services including counseling, financial and legal consultation, referrals for care service and more