Remote Aviation Data Analyst: Fleet Optimization & Insights

Placements24

Bloemfontein

Hybrid

ZAR 900,000 - 1,300,000

Full time

29 hours ago
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Benefits offered by this job

Health benefits
Retirement plan
Paid time off

Job summary

Placements24 is partnering with a global aviation analytics leader to recruit a Remote Aviation Data Analyst. You will analyze fleet performance data, build dashboards, and deliver insights that drive operational efficiency and safety across African airlines.

The role demands a strong quantitative background, advanced Python/R/SQL skills, and exceptional data visualization capabilities. You will work independently in a distributed team, contributing to global aviation improvements from a home

Qualifications

  • Bachelor's or Master's in a quantitative field.
  • 5+ years in data analysis, aviation preferred.
  • Proficiency in Python, R, SQL.
  • Experience with Tableau/Power BI.
  • Strong communication and remote-work ability.

Responsibilities

  • Collect, process, and analyze large aviation datasets including aircraft performance, maintenance logs, and fuel consumption.
  • Develop and maintain dashboards and reports to visualize KPIs and trends for fleet operations.
  • Identify anomalies and inefficiencies, propose data-driven solutions.
  • Collaborate with operations, maintenance and safety teams to understand data needs.
  • Develop predictive models for maintenance scheduling and fuel efficiency.
  • Ensure data integrity, accuracy and security; present findings clearly to stakeholders.
  • Stay updated on analytics and aviation tech; contribute to methodology improvements.

Skills

Analytical skills
Problem solving
Communication skills
Remote work discipline

Education

Data Science / Statistics degree

Tools

Python
R
SQL
Tableau
Power BI

Job description

Placements24 is partnering with a global aviation analytics leader to recruit a Remote Aviation Data Analyst. You will analyze fleet performance data, build dashboards, and deliver insights that drive operational efficiency and safety across African airlines.

The role demands a strong quantitative background, advanced Python/R/SQL skills, and exceptional data visualization capabilities. You will work independently in a distributed team, contributing to global aviation improvements from a home

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