flyadeal

4 months ago

Data Analyst – Fleet Performance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Support fleet utilization by turning aircraft utilization and operational datasets into KPI dashboards, predictive models, and reports. Analyze aircraft availability, schedule integrity, maintenance impact, technical events, lease compliance, and operational costs. Build automated reporting pipelines with BI tools and SQL/Python, conduct scenario modeling for assignments and maintenance planning, and collaborate with Engineering, Planning, Maintenance Control, and Reliability teams to improve efficiency and reliability.

Location: Jeddah

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Collect, clean, validate, and analyze large aircraft utilization and operational performance datasets (block hours, cycles, ground time, delays).
•Identify trends affecting aircraft availability, schedule integrity, and maintenance readiness, and support routing/utilization optimization.
•Develop, maintain, and automate fleet KPI dashboards (Utilization Rate, OTP, TDR, Aircraft Availability, Ground Time, maintenance-driven downtime).
•Produce daily/weekly/monthly fleet utilization reports for internal stakeholders, OEMs, lessors, and leadership.
•Build automated reporting pipelines and analyze maintenance schedules (MEL/CDL), technical event data, lease obligations, and operational costs to find improvement opportunities.

Key Requirements

•Bachelor’s degree in Data Science, Aviation Management, Engineering, Statistics, or a related field.
•2–5 years of experience in airline operations, operational analytics, fleet planning, flight operations analysis, or maintenance analytics.
•Proficiency in BI tools (Power BI, Tableau, Qlik, or similar) and advanced Excel skills.
•SQL and/or Python experience is highly preferred.
•Strong analytical/statistical skills, attention to detail, and the ability to work under tight operational timelines.

Experience:2-5 yearsAirlines/aviationOperational analyticsFleet planningMaintenance analytics

Education:Bachelor's in Engineering and Industrial Management; Aviation management

Skills:Analytical thinkingAttention to detailDocumentation disciplineCross-functional communicationProactive problem-solving

Languages:English

Tech Stack:SQLPower BITableauQlikPythonExcelBI dashboardsKPI reportingPredictive models

Company Brief

flyadeal

flyadeal is a Saudi low-cost carrier offering domestic and regional flights, focused on affordable travel options and high-frequency routes. It operates a modern narrow-body fleet and targets budget-conscious leisure and business travelers in the Middle East.

Industry: Airlines

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Funding: Government Funded

Headquarters: Jeddah, Saudi Arabia

Founded: 2016

Website LinkedIn

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flyadeal

4 months ago

Data Analyst – Fleet Performance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Jeddah

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Collect, clean, validate, and analyze large aircraft utilization and operational performance datasets (block hours, cycles, ground time, delays).
•Identify trends affecting aircraft availability, schedule integrity, and maintenance readiness, and support routing/utilization optimization.
•Develop, maintain, and automate fleet KPI dashboards (Utilization Rate, OTP, TDR, Aircraft Availability, Ground Time, maintenance-driven downtime).
•Produce daily/weekly/monthly fleet utilization reports for internal stakeholders, OEMs, lessors, and leadership.
•Build automated reporting pipelines and analyze maintenance schedules (MEL/CDL), technical event data, lease obligations, and operational costs to find improvement opportunities.

Key Requirements

•Bachelor’s degree in Data Science, Aviation Management, Engineering, Statistics, or a related field.
•2–5 years of experience in airline operations, operational analytics, fleet planning, flight operations analysis, or maintenance analytics.
•Proficiency in BI tools (Power BI, Tableau, Qlik, or similar) and advanced Excel skills.
•SQL and/or Python experience is highly preferred.
•Strong analytical/statistical skills, attention to detail, and the ability to work under tight operational timelines.

Experience:2-5 yearsAirlines/aviationOperational analyticsFleet planningMaintenance analytics

Education:Bachelor's in Engineering and Industrial Management; Aviation management

Skills:Analytical thinkingAttention to detailDocumentation disciplineCross-functional communicationProactive problem-solving

Languages:English

Tech Stack:SQLPower BITableauQlikPythonExcelBI dashboardsKPI reportingPredictive models

Company Brief

flyadeal

Industry: Airlines

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Funding: Government Funded

Headquarters: Jeddah, Saudi Arabia

Founded: 2016

Website LinkedIn