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naukri

Data Analyst

flyadeal Egypt
Jeddah, KSA
Senior
5 months ago
SQLPythonR ProgrammingData VisualizationStatistical AnalysisMachine Learning
Free

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Overview

  • Collect, clean, validate, and analyze large datasets related to aircraft utilization, block hours, cycles, ground time, delays, and operational performance.
  • Identify trends and patterns affecting aircraft availability, schedule integrity, or maintenance readiness.
  • Support the optimization of aircraft routing and utilization through data insights.
  • Develop, maintain, and automate KPI dashboards, including:
  • Utilization rate
  • On-time performance

• Technical Dispatch Reliability

  • Aircraft availability
  • Ground time
  • Maintenance-driven downtime
  • Produce daily/weekly/monthly fleet utilization reports for internal teams, OEMs, lessors, and leadership.br>Analyze operational costs related to fleet use (maintenance impact, aircraft swaps, disruptions).
  • Evaluate cost-saving opportunities and quantify efficiency improvements using data models.
  • Support budget forecasting by providing trend analysis and projections.
  • Analyze maintenance schedules, MEL/CDL impacts, and technical event data to assess their effect on utilization.
  • Work with Engineering, Planning, Maintenance Control, and Reliability teams to incorporate technical factors into utilization assessments.
  • Analyze operational disruptions to support strategic improvements.
  • Conduct scenario modelling to support decisions around aircraft assignment, Engine changes, and Major Maintenance.
  • Track utilization parameters related to lease obligations (FH, FC, APU hours, limits).
  • Generate accuracy verified utilization reports for lessors and ensure data consistency across systems.
  • Develop automated reporting pipelines using BI tools, SQL, Python, or dashboard platforms.
  • Ensure data integrity across operational systems (OCC systems, maintenance systems, planning databases).
  • Recommend improvements to data processes and analytics tools.br>Provide data-backed recommendations to improve fleet efficiency and reduce operational risks.
  • Support long-term fleet planning analysis, including aircraft inductions, redeliveries, modifications, and performance impacts.
  • Participate in strategic studies related to fleet sizing, schedule planning, and operational resilience.

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