Remote Aviation Data Analyst: Optimize Flight Efficiency

Placements24; Mossel Bay; Hybrid; ZAR 420,000 - 700,000; Full time

Benefits offered by this job

Remote work flexibility

Generous annual leave

Home office stipend

Health and wellness benefits

Job summary

Placements24 is seeking a highly analytical Remote Aviation Data Analyst to join their globally distributed team. You will collect, process, and analyze large aviation datasets to drive strategic decisions from your home office.

The role involves building models, identifying trends, and creating dashboards to support flight operations, safety, and performance metrics. Candidates should have a Bachelor's in a quantitative field and at least 3 years of aviation data experience, with Python, SQL,

Qualifications

• Bachelor's degree in a quantitative field is required.
• At least 3 years of aviation data analysis experience.
• Proficiency in Python, R, SQL and data visualization tools.

Responsibilities

• Collect, clean, and validate large datasets from aviation sources.
• Develop data models and identify trends, anomalies, and KPIs.
• Create dashboards and reports for stakeholders at different levels.
• Provide data-driven recommendations to optimize flight schedules, reduce costs and improve safety.
• Collaborate with engineering and operations to define data needs and approaches.
• Stay updated on trends in aviation data analytics.

Skills

Python

SQL

R

Tableau

Education

Bachelor's degree in a quantitative field (Data Science / Statistics / Computer Science / Aviation Management)

Tools

Power BI

Tableau

Pandas

NumPy

Job description

Placements24 is seeking a highly analytical Remote Aviation Data Analyst to join their globally distributed team. You will collect, process, and analyze large aviation datasets to drive strategic decisions from your home office.

The role involves building models, identifying trends, and creating dashboards to support flight operations, safety, and performance metrics. Candidates should have a Bachelor's in a quantitative field and at least 3 years of aviation data experience, with Python, SQL,