Remote Aviation Data Analyst: Insights that Elevate Ops

Placements24

Benoni

Hybrid

ZAR 320,000 - 520,000

Full time

4 days ago
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Benefits offered by this job

Remote work flexibility
Health insurance
Paid time off
Professional development budget

Job summary

Placements24 is seeking a Remote Aviation Data Analyst to join their team. You will collect, clean, and analyze vast aviation datasets to identify trends, improve operational efficiency, and support decision-making.

The role requires proficiency in Python, R, SQL, and Excel, and experience with data visualization tools like Tableau or Power BI to present insights to stakeholders. Working remotely, you will contribute to predictive modeling and operational forecasting.

Qualifications

  • Bachelor's degree in a quantitative field (Statistics, Mathematics, CS, or Economics).
  • 3+ years of data analysis experience, preferably in aviation.
  • Proficiency in Python, R, SQL, and Excel; experience with Tableau or Power BI.

Responsibilities

  • Collect, clean, and organize large datasets related to flight operations, maintenance records, and customer feedback.
  • Perform complex data analysis to identify trends, patterns, and anomalies.
  • Develop dashboards and reports to communicate KPIs to stakeholders.
  • Collaborate with departments to understand data needs and provide analytical support.
  • Contribute to predictive models for forecasting and risk assessment.

Skills

Analytical thinking
Communication skills
Problem solving

Education

Bachelor's degree in Statistics

Tools

Python
R
SQL
Excel
Tableau
Power BI

Job description

Placements24 is seeking a Remote Aviation Data Analyst to join their team. You will collect, clean, and analyze vast aviation datasets to identify trends, improve operational efficiency, and support decision-making.

The role requires proficiency in Python, R, SQL, and Excel, and experience with data visualization tools like Tableau or Power BI to present insights to stakeholders. Working remotely, you will contribute to predictive modeling and operational forecasting.

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