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Sr. Analyst - RM Optimization RFS

Saudia Cargo
Jeddah, KSA
Full-time
Senior
Onsite
Discovered 3 weeks ago
Revenue managementYield managementRevenue forecastingData analyticsCapacity managementPricing analysis

Full Job Posting

Role purpose

Support the revenue generation roadmap through analysis of network planning, capacity management and utilization, and proactive pricing.

Coordinate with relevant departments to support effective communication and delivery.

Revenue optimization and planning

  • Help achieve the highest possible margins on freighter and passenger flights.
  • Maintain and implement yield management techniques and forecasting models; use analytics to identify trends, opportunities, and risks.
  • Implement technologies supporting data-driven revenue management and contribute to function best practices and methodologies.
  • Support rolling forecasts, long-term optimization, and budget setting.
  • Assist with freighter operation plans, including route adjustments, extra sector operations, and cancellations, to maximize revenue and protect profitability.
  • Monitor and update ad hoc rates based on market demand, cargo capacity, and competitor pricing.

Capacity and flight operations

  • Review overbooking levels using booking cancellations, no-shows, pickup demand, and other trends on inbound and outbound KSA flights.
  • Project weekly empty capacity and support initiatives to promote available capacity and ensure utilization.
  • Evaluate capacity requests and provide effective alternatives.
  • Release flight booking lists to Hub Operations within agreed deadlines.
  • Support offload and rebooking management and conduct post-flight analysis against forecasts to support capacity management and flight yield.
  • Manage AWB flows and monitor timely actions on ad hoc pricing and space confirmation requests.
  • Prepare daily distribution lists based on scheduled and non-scheduled trucks with global RFS providers.

Qualifications and experience

  • Bachelor's degree in Industrial Engineering, Business Administration, Aviation Management, or a related field.
  • At least 2–4 years of experience in the same or a similar field.

Preferred qualifications

  • Hands-on experience developing AI-related solutions and applying AI to business challenges is preferred.
  • Programming and integration background, such as Python, APIs, automation, or system integration, is preferred.

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