Remote Senior Aviation Analytics Lead

Placements24; Sandton; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Fully remote work

Health benefits

Professional development budget

Strategic impact

Access to analytics platforms

Job summary

Placements24 is seeking a Senior Aviation Analyst to join its strategic insights team, working remotely. You will deliver data-driven insights on market trends, operational efficiency, and financial performance in the aviation sector, supporting major business decisions.

The ideal candidate has a Master's degree in a quantitative field, 6+ years in aviation data analysis or financial modeling, and proficiency with SQL, Python or R.

Qualifications

• Master's degree in a quantitative field (Economics, Finance, Statistics, Data Science, etc.).
• 6+ years in data analysis, financial modeling, or strategic planning in aviation.
• Proficiency in SQL, Python or R; strong stats and data visualization knowledge.

Responsibilities

• Conduct in-depth analysis of aviation market data, including passenger traffic, cargo volumes, fleet utilization, and financial performance.
• Develop financial models and forecasts to support strategic planning and investment decisions.
• Identify KPIs and monitor operational efficiency across the business.
• Prepare reports, presentations, and dashboards to communicate findings to senior management.
• Provide data-driven recommendations to improve operational performance, cost reduction, and revenue enhancement.
• Stay abreast of industry trends, regulatory changes, and competitive landscapes in aviation.
• Collaborate with departments to gather data and support analytical needs.

Skills

SQL

Python

R

Data visualization

Statistical methods

Communication

Education

Master's degree in Economics, Finance, Statistics, Data Science or related quantitative field

Tools

Python

R

Job description

Placements24 is seeking a Senior Aviation Analyst to join its strategic insights team, working remotely. You will deliver data-driven insights on market trends, operational efficiency, and financial performance in the aviation sector, supporting major business decisions.

The ideal candidate has a Master's degree in a quantitative field, 6+ years in aviation data analysis or financial modeling, and proficiency with SQL, Python or R.