Schedule Design Analyst: Data-Driven Decision Maker Hybrid

easyJet holidays

England

Hybrid

GBP 42,000 - 60,000

Full time

11 days ago

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Benefits offered by this job

Private medical insurance
Holiday entitlement
Staff travel benefits
Flexible benefits
Annual holiday credit

Job summary

easyJet is seeking a Schedule Design Analyst in Luton, offering a hybrid, full-time role. You will turn complex schedule data into clear, decision-ready insights and dashboards that influence profitability and resilience.

The position emphasizes rigorous analysis, stakeholder communication and collaboration across commercial and operational teams. You’ll lead analytical delivery, forecast performance, and develop tools that quantify risks and opportunities throughout the planning cycle, shaping

Qualifications

  • Highly numerate, analytical and accurate with strong attention to detail.
  • Ability to communicate complex analysis clearly and influence stakeholders.
  • Proficient with MS Office, especially Excel and PowerPoint; SQL data mining or scheduling systems are a plus.

Responsibilities

  • Lead analytical delivery of schedule scenarios and make KPIs, assumptions, risks and trade-offs visible at every planning stage.
  • Forecast commercial and operational performance and identify drivers of profitability, cost efficiency and resilience.
  • Turn complex data into decision-ready insights and presentations for stakeholders.
  • Develop dashboards, analytical methods and tools to strengthen how schedules are designed and assessed.

Skills

Numeracy
Analytical skills
Communication

Tools

SQL data mining
Amadeus SkySuite
Sabre AirVision

Job description

easyJet is seeking a Schedule Design Analyst in Luton, offering a hybrid, full-time role. You will turn complex schedule data into clear, decision-ready insights and dashboards that influence profitability and resilience.

The position emphasizes rigorous analysis, stakeholder communication and collaboration across commercial and operational teams. You’ll lead analytical delivery, forecast performance, and develop tools that quantify risks and opportunities throughout the planning cycle, shaping

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