OCRA
Hospitality
RevenueOptimizationManager
Neural analysis suggests this role is
optimal for Manager candidates.
“Revenue Optimization Manager at OCRA. Skills: Revenue management, Pricing strategy, Client relations, Data analytics. Analyze market trends. Analyze occupancy data”
What You'll Achieve.
Ensure maximum RevPAS for each asset; Ensure client satisfaction; Deliver world-class product
Industry & Context.
Analytical skills; Data-driven insights
What They're Looking For.
Must Have
2+ years revenue management experience, 2+ years pricing analysis experience, 2+ years yield management experience, Excel expertise, BI tools expertise, Ability to manage multiple clients
Nice to Have
Revenue management experience in hospitality, Revenue management experience in parking, Revenue management experience in travel, Pricing analysis experience in hospitality, Pricing analysis experience in parking, Pricing analysis experience in travel, Yield management experience in hospitality, Yield management experience in parking, Yield management experience in travel, SQL familiarity, Data visualization tools familiarity, Advanced data analytics tools familiarity, Managed service experience, Client-facing analytics consulting experience
What You'll Do.
Analyze market trends
Analyze occupancy data
Analyze booking lead times
Analyze competitor pricing
Develop dynamic pricing strategies
Develop revenue maximization techniques
Manage asset owner relationships
Deliver strategic recommendations
Deliver performance reviews
Use data-driven insights
Evaluate pricing performance
Identify opportunities for revenue uplift
Enhance platform utilization
Collaborate with product teams
Collaborate with technology teams
Ensure operational effectiveness
Create actionable reports
Demonstrate revenue impacts
Implement best practices
Streamline operations
Ensure consistency across accounts
Facilitate client onboarding
Facilitate client support
How You'll Work.
Team & Collaboration
Revenue teams; Product teams; Technology teams
Communication Scope
Communicate findings; Client reporting
Full Job Description
ABOUT OCRA OCRA https://getocra.com IS AN AI-POWERED REVENUE MANAGEMENT SYSTEM (RMS) AND GLOBAL DISTRIBUTION SYSTEM (GDS) BUILT FOR HOTEL PARKING ASSETS. HOTELS USE OCRA TO SELL UNDERUTILIZED PARKING INVENTORY THROUGH “PARKING OTAS” TO NON-GUEST CUSTOMERS LOOKING TO PARK NEAR AIRPORTS AND EVENT VENUES. OCRA'S TEAM OF PARKING REVENUE MANAGEMENT EXPERTS DRIVES REVENUE GROWTH WITHOUT ADDING LABOR OR DISRUPTING OPERATIONS, HELPING HOTELS INCREASE NET OPERATING INCOME (NOI) WHILE NEVER COMPROMISING PARKING FOR HOTEL GUESTS AND STAFF. OCRA PARTNERS WITH 50+ OPERATORS AND 25+ HOTEL GROUPS AT 600+ LOCATIONS. THE COMPANY HAS RAISED $10M, MOST RECENTLY AN OVERSUBSCRIBED $5M ROUND CO-LED BY TRESTLE PARTNERS AND MCR HOTELS. ABOUT THE ROLE THE ROCKET IS LEAVING THE LAUNCHPAD, AND WE’RE SEEKING AN UPSTART ANALYTICAL MIND WHO ENJOYS ENGAGING WITH CLIENTS, GATHERING ON-SITE DETAILS, AND ENSURING SERVICE DELIVERY. AS THE REVENUE OPTIMIZATION MANAGER, YOU WILL LEAD A PORTFOLIO OF ASSETS, MAKING REAL-TIME PRICING DECISIONS AND SUPPORTING KEY OPERATIONAL ACTIONS. YOU WILL BE AN INTEGRAL PART OF OUR REVENUE ENGINE—PROVIDING DATA AND ANALYTICS TO CLIENTS AND PARTNERS TO ENSURE MAXIMUM REVPAS FOR EACH ASSET. YOU WILL ALSO BE RESPONSIBLE FOR ENSURING CLIENT SATISFACTION BY COLLABORATING WITH OUR REVENUE AND PRODUCT TEAMS TO ITERATE ON AND DELIVER A WORLD-CLASS PRODUCT. DIRECT RESPONSIBILITIES - Revenue Management & Yield Strategy: Analyze market trends, occupancy data, booking lead times, and competitor pricing to develop dynamic pricing strategies and revenue maximization techniques. - Client-Focused Execution: Directly manage relationships with asset owners, delivering strategic recommendations and regular performance reviews to drive client success. - Advanced Analytics: Use data-driven insights to forecast demand, evaluate pricing performance, and proactively identify opportunities for revenue uplift. - Platform Optimization: Continuously enhance Ocra’s platform utilization, collaborat
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