Remote Flight Operations Analytics Lead

Placements24; Pretoria; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Flexible remote work

Professional certifications

Job summary

Placements24 is seeking a Senior Flight Operations Analyst to join our remote-ready team supporting Pretoria-based operations. You will analyze large datasets, develop KPIs, and provide data-driven recommendations to improve flight planning, scheduling, and cost efficiency.

The ideal candidate has at least five years in airline analytics, strong SQL/Python/R, and the ability to translate complex data into strategic insights for management.

Qualifications

• Bachelor's degree in Aviation Management, OR Operations Research, OR Data Science.
• Minimum of 5 years in flight operations analysis or airline analytics.
• Proficiency with SQL, Python, R, and visualization tools.
• Strong understanding of airline operations and regulatory requirements.

Responsibilities

• Analyze large datasets related to flight performance, fuel consumption, on-time performance, and operational costs.
• Develop and maintain KPIs and dashboards to track operational efficiency.
• Collaborate with flight ops, planning, and network teams on route optimization and resource allocation.
• Conduct deep-dive analyses into operational anomalies and safety incidents to identify root causes.
• Use advanced statistical tools to model scenarios and forecast performance.
• Prepare reports and presentations for senior management with actionable insights.

Skills

Data analysis

Statistical modeling

Remote work

Communication

Education

Bachelor's degree in Aviation Management

Bachelor's degree in Operations Research

Bachelor's degree in Data Science

Tools

SQL

Python

R

Tableau

Power BI

Job description

Placements24 is seeking a Senior Flight Operations Analyst to join our remote-ready team supporting Pretoria-based operations. You will analyze large datasets, develop KPIs, and provide data-driven recommendations to improve flight planning, scheduling, and cost efficiency.

The ideal candidate has at least five years in airline analytics, strong SQL/Python/R, and the ability to translate complex data into strategic insights for management.