Remote Aviation Data Analyst

Placements24; Upington; Hybrid; ZAR 1,498,000 - 2,329,000; Full time

Benefits offered by this job

Health coverage

Annual bonuses

Generous PTO

Remote-friendly

Training resources

Collaborative remote environment

Job summary

Placements24 is seeking a highly analytical Remote Aviation Data Analyst to join a fully remote team. You will extract and interpret complex aviation data, transforming it into actionable insights to improve safety and efficiency.

Responsibilities include preprocessing datasets, predictive modeling, and building dashboards with Tableau or Power BI. Collaboration with operations, safety, and engineering teams is essential.

Qualifications

• Bachelor's degree in a quantitative field (data science, statistics, CS, aviation).
• Minimum 4 years as Data Analyst with aviation experience.
• Strong SQL, Python or R skills.
• Experience with Tableau, Power BI, or QlikView.
• Ability to explain findings to non-technical stakeholders remotely.

Responsibilities

• Collect, clean, and preprocess large aviation datasets.
• Perform statistical analysis, predictive modeling, and trend analysis.
• Develop dashboards and reports using visualization tools.
• Collaborate with operations, safety, and engineering teams.
• Identify opportunities for improvements, cost savings, safety enhancements.
• Stay current with industry trends in data analysis for aviation.

Skills

SQL

Python

R

Statistical modeling

Data mining

Education

BSc in Data Science/CS

Tools

Tableau

Power BI

QlikView

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Remote Aviation Data Analyst to join their forward-thinking, fully remote team. This role is dedicated to extracting, analyzing, and interpreting complex aviation data to provide actionable insights that drive strategic decisions, improve operational efficiency, and enhance safety. You will work with vast datasets related to flight operations, maintenance records, safety incidents, and customer feedback, transforming raw data into meaningful trends and recommendations. This is an exciting opportunity for a data professional passionate about aviation to contribute to significant advancements from any location, leveraging sophisticated tools and collaborating with a global team of experts.

Key Responsibilities

• Collect, clean, and preprocess large datasets from various aviation sources (e.g., flight logs, maintenance systems, sensor data).
• Perform in-depth statistical analysis, predictive modeling, and trend analysis to identify key insights and patterns.
• Develop and maintain dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to communicate findings.
• Collaborate with aviation operations, safety, and engineering teams to understand data needs and provide analytical support.
• Identify opportunities for operational improvements, cost savings, and safety enhancements based on data-driven insights.
• Stay current with industry trends and advancements in data analysis techniques and tools applicable to the aviation sector.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Aviation Management, or a related quantitative field.
• Minimum of 4 years of experience as a Data Analyst, with a significant portion focused on the aviation industry.
• Strong proficiency in data analysis languages such as SQL, Python, or R.
• Experience with data visualization tools (e.g., Tableau, Power BI, QlikView).
• Solid understanding of statistical modeling, machine learning concepts, and data mining techniques.
• Excellent communication skills and the ability to explain complex data findings to non-technical stakeholders in a remote setting.

Benefits

• Highly competitive salary and annual performance bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and a flexible, work-from-anywhere policy.
• Access to advanced training resources and industry conferences.
• A dynamic, innovative, and collaborative remote work environment.