Remote Aviation Systems Analyst

Placements24

Paarl

Hybrid

ZAR 1,469,000 - 2,122,000

Full time

4 days ago
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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

About the Role

Our client is seeking a highly analytical and experienced Remote Aviation Systems Analyst to join their globally distributed team. This position focuses on optimizing and evaluating complex aviation systems from a data-driven perspective, providing insights that enhance operational efficiency, safety, and performance. You will work with vast datasets related to flight operations, maintenance logs, and system performance, translating raw data into actionable intelligence. This fully remote role offers the flexibility to work from anywhere while contributing to critical decision-making processes within the aviation industry, leveraging cutting-edge analytical tools and methodologies.

Key Responsibilities
  • Analyze large datasets related to flight operations, maintenance records, and system performance to identify trends, inefficiencies, and areas for improvement.
  • Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) for various aviation systems.
  • Collaborate with engineering, operations, and management teams to provide data-driven recommendations for system enhancements and strategic planning.
  • Conduct root cause analysis for system failures or performance deviations, proposing effective solutions.
  • Stay abreast of the latest trends and technologies in aviation analytics and data science to continuously improve analytical approaches.
Requirements
  • Bachelor's or Master's degree in Engineering, Data Science, Aviation Management, or a related quantitative field.
  • Proven experience as an Aviation Systems Analyst or in a similar data analysis role within the aviation sector.
  • Strong proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis techniques.
  • Excellent communication skills, with the ability to present complex findings clearly to both technical and non-technical stakeholders in a remote setting.
Benefits
  • Competitive remote salary and potential for annual bonuses.
  • Comprehensive health, dental, and vision insurance coverage.
  • Generous paid time off and flexible working hours.
  • Opportunities for professional growth and participation in industry conferences.
  • Access to advanced analytical software and a collaborative remote work environment.
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