Remote Aviation Analytics Specialist

Placements24; Bloemfontein; Hybrid; ZAR 350,000 - 550,000; Full time

Benefits offered by this job

Performance-based bonuses

Fully remote work arrangement

Health insurance

Professional development opportunities

Job summary

Placements24 is seeking a highly analytical and detail-oriented Remote Aviation Data Analyst to join their expanding team. This fully remote role focuses on collecting, processing, and analyzing large aviation datasets to inform strategic decisions and drive improvements across the organization.

The ideal candidate will have a strong background in data science, aviation data, and experience with SQL, Python or R, and data visualization tools, while thriving in a remote environment.

Qualifications

• Bachelor's degree in a quantitative field (Data Science, Statistics, Aviation Management, etc.).
• Proven Data Analyst experience, preferably in aviation.
• Strong analytical, problem-solving, and remote-communication skills.

Responsibilities

• Collect, clean, and organize large volumes of aviation-related data from various sources.
• Develop and implement data models and analytical frameworks to identify key trends and patterns.
• Create comprehensive reports, dashboards, and visualizations to communicate findings to stakeholders.
• Collaborate with operational teams to understand their data needs and provide analytical support.
• Monitor industry benchmarks and identify opportunities for performance enhancement.
• Ensure data accuracy, integrity, and adherence to data governance policies.

Skills

SQL

Python (Pandas/NumPy)

R

Education

Bachelor's degree in Data Science, Statistics, Aviation Management, or related quantitative field

Tools

Tableau

Power BI

Job description

Placements24 is seeking a highly analytical and detail-oriented Remote Aviation Data Analyst to join their expanding team. This fully remote role focuses on collecting, processing, and analyzing large aviation datasets to inform strategic decisions and drive improvements across the organization.

The ideal candidate will have a strong background in data science, aviation data, and experience with SQL, Python or R, and data visualization tools, while thriving in a remote environment.