Remote Aviation Data Analyst - Insights & Dashboards

Placements24; Queenstown; Hybrid; NZD 90,000 - 125,000; Full time

Job summary

Placements24 is hiring a Remote Aviation Data Analyst to collect, process, and analyze large aviation datasets. You will develop dashboards and models to reveal trends in flight operations, safety metrics, market dynamics, and operational efficiency.

The role emphasizes remote collaboration, strong analytical skills, and experience with SQL, Python (Pandas/NumPy), R, Tableau and Power BI. A quantitative degree and aviation data familiarity are preferred.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, CS, Aviation Management, or Economics.
• Proven experience as a Data Analyst, preferably in aviation or related sectors.
• Strong proficiency in SQL, Python (Pandas/NumPy), and R.
• Experience with data visualization tools (Tableau, Power BI).
• Solid understanding of statistics, data modeling, and machine learning concepts.

Responsibilities

• Collect, clean, and transform large aviation-related datasets from diverse sources.
• Perform statistical analysis and modeling to identify trends and correlations.
• Develop dashboards and reports to visualize KPIs for stakeholders.
• Provide actionable recommendations to improve efficiency, safety, and cost-effectiveness.
• Collaborate remotely with cross-functional teams and present findings clearly.

Skills

SQL

Python (Pandas, NumPy)

R

Data Visualization

Tableau

Power BI

Education

Bachelor’s or Master’s degree in Data Science, Statistics, CS, Aviation Management, Economics

Tools

Tableau

Power BI

Jupyter

Git

Job description

Placements24 is hiring a Remote Aviation Data Analyst to collect, process, and analyze large aviation datasets. You will develop dashboards and models to reveal trends in flight operations, safety metrics, market dynamics, and operational efficiency.

The role emphasizes remote collaboration, strong analytical skills, and experience with SQL, Python (Pandas/NumPy), R, Tableau and Power BI. A quantitative degree and aviation data familiarity are preferred.