Remote Aviation Data & Systems Analyst

Placements24; Paarl; Hybrid; ZAR 1,469,000 - 2,122,000; Full time

Benefits offered by this job

Annual bonuses

Comprehensive health coverage

Paid time off

Growth opportunities

Advanced analytics software access

Job summary

Placements24 is seeking a highly analytical Remote Aviation Systems Analyst to join a globally distributed team. You will work with large flight operations and maintenance datasets to generate insights that improve efficiency, safety, and performance.

This fully remote role offers flexible hours and opportunities to present data-driven recommendations to engineering, operations, and management, using SQL, Python, R, Tableau, and Power BI.

Qualifications

• Bachelor’s or Master’s in Engineering, Data Science, Aviation Management or related quantitative field.
• Proven aviation systems analytics experience.
• Proficient in SQL, Python, R or similar.
• Experience with Tableau or Power BI and statistics.
• Excellent remote communication and presentation skills.

Responsibilities

• Analyze large aviation datasets to identify trends, inefficiencies, and areas for improvement.
• Develop dashboards and reports to visualize KPIs for aviation systems.
• Collaborate with engineering, operations, and management for data-driven recommendations.
• Conduct root cause analysis for system failures or performance deviations.
• Stay updated on aviation analytics trends and tools.

Skills

SQL

Python

R

Tableau

Power BI

Data analysis

Communication

Remote work

Education

Bachelor’s or Master’s degree in engineering/data science/aviation management

Tools

SQL

Python

R

Tableau

Power BI

Job description

Placements24 is seeking a highly analytical Remote Aviation Systems Analyst to join a globally distributed team. You will work with large flight operations and maintenance datasets to generate insights that improve efficiency, safety, and performance.

This fully remote role offers flexible hours and opportunities to present data-driven recommendations to engineering, operations, and management, using SQL, Python, R, Tableau, and Power BI.