Revenue Optimization Manager

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Revenue Management & Yield Strategy: Assess market trends, occupancy statistics, booking lead times, and competitor pricing to create dynamic pricing strategies and maximize revenue opportunities.

• Client-Focused Execution: Manage relationships with asset owners, providing strategic recommendations and conducting regular performance reviews to enhance client success.

• Advanced Analytics: Leverage data-driven insights to forecast demand, assess pricing performance, and proactively discover opportunities for revenue enhancement.

• Platform Optimization: Continuously improve the utilization of Ocra’s platform, working closely with product and technology teams to ensure operational efficiency and scalability.

• Reporting & Communication: Develop clear, actionable reports and dashboards aligned with client objectives and internal stakeholders, effectively showcasing ROI and revenue impacts.

• Process Development: Establish best practices and SOPs to optimize operations, maintain consistency across accounts, and support efficient client onboarding and assistance.

⛳️ Requirements

• A minimum of 2 years of direct experience in revenue management, pricing analysis, or yield management, preferably in hospitality, parking, travel, or similar B2B sectors.

• Outstanding analytical abilities with proficiency in Excel, BI tools, and experience with pricing software.

• Proven skill in conveying complex analytical insights clearly and persuasively to various audiences.

• Strong organizational capabilities and the ability to manage multiple clients concurrently in a fast-paced, remote-first setting.

• Demonstrated experience in scaling revenue management strategies from concept to broad implementation.

• Nice-to-Haves: Experience with inventory and pricing management specifically in parking, hospitality, or mobility-related sectors.

• Familiarity with SQL, data visualization tools (Tableau, Power BI, Looker), or advanced data analytics tools.

• Previous experience in a managed service or client-facing analytics consulting position.

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development