Remote Aviation Data Analyst

Placements24; Rustenburg; Hybrid; ZAR 1,223,000 - 1,794,000; Full time

Benefits offered by this job

Competitive salary

Fully remote work

Online learning platforms

Global team collaboration

Job summary

Placements24 is recruiting a Remote Aviation Data Analyst to join a globally distributed team. You will collect, process, and analyse large datasets from flight operations and maintenance to derive actionable insights that improve operational efficiency and safety metrics.

The role requires 3+ years in data analysis within aviation or related fields, and proficiency in Python, SQL, and data visualization tools. This is a fully remote position with stakeholders across multiple time zones.

Qualifications

• 3+ years of experience as a Data Analyst, preferably in aviation.
• Proficiency in Python, R, SQL and Excel for data processing.
• Experience with Tableau or Power BI for dashboards.
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Collect, clean, and organize large datasets from aviation sources.
• Develop and implement statistical models to identify trends and anomalies.
• Generate reports and visualizations for management and technical teams.
• Monitor KPIs related to flight safety, efficiency, and costs.
• Collaborate with software engineers to improve data collection/reporting tools.
• Stay updated on industry best practices in aviation analytics.

Skills

Data analysis

Statistical modeling

Data visualization

Python

SQL

Excel

R

Communication

Education

Bachelor's degree in Aviation Management

Bachelor's degree in Data Science

Tools

Python

R

SQL

Excel

Tableau

Power BI

Job description

About the Role

Our client is seeking a proactive and analytical Remote Aviation Data Analyst to join their globally distributed team. This position is fundamental to understanding and improving operational efficiency, safety metrics, and economic performance within the aviation sector. You will be responsible for collecting, processing, and analyzing vast datasets related to flight operations, maintenance records, and passenger data to derive actionable insights. This is a fully remote opportunity, allowing you to contribute significantly from anywhere, working closely with stakeholders across different time zones to drive data-informed decision-making within the North West region's aviation industry.

Key Responsibilities

• Collect, clean, and organize large datasets from various aviation sources, including flight operations, maintenance logs, and performance metrics.
• Develop and implement statistical models and analytical techniques to identify trends, patterns, and anomalies in aviation data.
• Generate comprehensive reports and visualizations to communicate findings and recommendations to management and technical teams.
• Monitor key performance indicators (KPIs) related to flight safety, operational efficiency, and cost management.
• Collaborate with software engineers and IT departments to enhance data collection and reporting tools.
• Stay abreast of industry best practices and emerging technologies in data analysis and aviation analytics.

Requirements

• Bachelor's degree in Aviation Management, Statistics, Data Science, Engineering, or a related quantitative field.
• Proven experience (3+ years) as a Data Analyst, preferably within the aviation industry.
• Proficiency in data analysis tools and programming languages such as Python, R, SQL, and Excel.
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Strong understanding of aviation operations, terminology, and data structures.
• Excellent analytical, problem-solving, and communication skills, with the ability to present complex information clearly.

Benefits

• Competitive salary and performance-based incentives.
• Fully remote work arrangement with flexible hours.
• Access to online learning platforms for continuous skill development.
• Opportunity to work on impactful projects shaping the future of aviation.
• A collaborative and inclusive international team environment.