Aviation Data Analytics Specialist (Remote)

Placements24; Kimberley; Remote; CAD 75,000 - 110,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Remote work flexibility

Professional development

Job summary

Placements24 is seeking a highly analytical Remote Aviation Data Analyst to join a global aviation analytics team. You will collect, clean, and analyze large aviation datasets and build models to uncover trends informing airline and industry decisions.

The role offers fully remote work, with opportunities to develop dashboards using Tableau/Power BI and communicate insights to technical and non-technical stakeholders worldwide. A strong foundation in Python/R/SQL and statistics is essential.

Qualifications

• 4+ years of data analysis experience, preferably in aviation or a data-intensive sector.
• Proficient with Python, R, SQL; strong data manipulation skills.
• Experience creating dashboards with Tableau or Power BI and Matplotlib.
• Solid understanding of statistics and machine learning techniques.
• Excellent communication and ability to work remotely.

Responsibilities

• Collect, clean, and transform large aviation datasets from diverse sources.
• Perform statistical analysis and build predictive models to identify trends.
• Develop dashboards to communicate findings to stakeholders.
• Generate regular reports on aviation metrics and market intelligence.
• Collaborate with teams to meet data needs and ensure data integrity.

Skills

Python

R

SQL

Tableau

Power BI

Matplotlib

Statistics

Machine Learning

Education

Bachelor's degree in Data Science

Master's degree in Data Science

Tools

Pandas

NumPy

Job description

Placements24 is seeking a highly analytical Remote Aviation Data Analyst to join a global aviation analytics team. You will collect, clean, and analyze large aviation datasets and build models to uncover trends informing airline and industry decisions.

The role offers fully remote work, with opportunities to develop dashboards using Tableau/Power BI and communicate insights to technical and non-technical stakeholders worldwide. A strong foundation in Python/R/SQL and statistics is essential.