Lead Pricing and Revenue Management Analyst

The Lead Pricing and Revenue Management Analyst position will manage a team of Analysts and/or Sr. Analysts and be responsible for leading and mentoring their assigned team in performing the following activities for their assigned portfolio of markets and city-pairs. 

KEY RESPONSIBILITIES/

• Perform Pricing and Revenue Management functions which will include taking ownership in establishing and managing the fare structure and related fare management process to meet company/department revenue/sales goals.
• Work on the integration of Greyhound into the Flix RMS system, learn the new revenue management tool, manage selected markets via RMS, develop a cohesive market strategy
• Work as part of the Commercial team in growing revenue through identifying areas of opportunity and areas of concern and leading the development of strategic pricing actions.
• Conducts quantitative analysis of assigned area of responsibility to measure overall performance and success of fare structure, deriving and communicating actionable insights.
• Closely monitor competition and identify pricing and/or scheduling opportunities, synthesize conclusions and drive/support implementation
• Work closely with Capacity Management / Operations / Scheduling to maximize yield and load metrics during peak periods

• Subject Matter Expert (SME) for all sales performance and fare management issues for assigned area
• Performs all other duties as assigned

REQUIREMENTS 

• Bachelor’s degree required with an emphasis on Business or Financial
• 5+ years Pricing and Revenue Management experience
• Revenue or Fare Management experience with an airline or other intercity transportation provider or hospitality company required
• Decision making level of experience required
• Management and Supervisory experience preferred.
• Must be self starter with the ability to manage projects with very little direct supervision
• Excellent time management skills with the ability to work over and above normal business hours as needed
• Strong communication skills (both orally and written) 
• Strong analytical and data presentation skills
• Strong MS Office and spreadsheet skills
• Ability to use Sales Database Query tools