Remote Aviation Data Analyst

Placements24

Centurion

Hybrid

ZAR 420,000 - 680,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Paid time off
Professional development

Job summary

Placements24 is seeking a Remote Aviation Data Analyst to collect, analyze, and report on aviation data from home. You will transform large datasets into actionable insights to support strategic decisions.

The role requires strong Python/R/SQL skills and expertise in Tableau/Power BI, with a focus on data integrity, dashboards, and cross-functional collaboration.

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Aviation Management, or related field.
  • Proven experience as a Data Analyst, preferably within the aviation industry.
  • Proficiency in Python, R, SQL, and Excel; strong data visualization skills with Tableau/Power BI.

Responsibilities

  • Collect, clean, and organize large datasets from various aviation sources, ensuring data integrity.
  • Perform complex data analysis using statistical methods and data visualization tools to identify trends, patterns, and anomalies.
  • Develop and maintain dashboards and reports to communicate key findings to stakeholders.
  • Collaborate with cross-functional teams to define data requirements and support analytical projects.
  • Identify opportunities for process improvements in data collection and analysis methodologies.
  • Stay current with industry trends and emerging technologies in data analytics and aviation.

Skills

Python
R
SQL
Excel
Tableau
Power BI
Statistical analysis
Data visualization
Communication

Education

Bachelor's degree in Statistics
Bachelor's degree in Mathematics
Bachelor's degree in Computer Science
Bachelor's degree in Aviation Management

Tools

Pandas
NumPy

Job description

About the Role

Our client is looking for a highly analytical and detail-oriented Remote Aviation Data Analyst to join their expanding team. In this fully remote position, you will play a critical role in collecting, interpreting, and reporting on complex aviation data to support strategic decision-making. You will work with large datasets related to flight operations, safety, and market trends, transforming raw information into actionable insights. This is an excellent opportunity for a data professional with a passion for aviation to leverage advanced analytical tools and techniques from the comfort of their home office, contributing to enhanced operational efficiency and strategic planning across the organization.

Key Responsibilities
  • Collect, clean, and organize large datasets from various aviation sources, ensuring data integrity.
  • Perform complex data analysis using statistical methods and data visualization tools to identify trends, patterns, and anomalies.
  • Develop and maintain dashboards and reports to communicate key findings to stakeholders.
  • Collaborate with cross-functional teams to define data requirements and support analytical projects.
  • Identify opportunities for process improvements in data collection and analysis methodologies.
  • Stay current with industry trends and emerging technologies in data analytics and aviation.
Requirements
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Aviation Management, or a related field.
  • Proven experience as a Data Analyst, preferably within the aviation industry.
  • Proficiency in data analysis tools and programming languages such as Python, R, SQL, and Excel.
  • Strong data visualization skills using tools like Tableau, Power BI, or similar.
  • Excellent analytical, problem-solving, and critical thinking abilities.
  • Effective communication skills, with the ability to present complex data insights clearly and concisely to both technical and non-technical audiences.
Benefits
  • Competitive remote salary and performance-based incentives.
  • Comprehensive health, dental, and vision insurance plans.
  • Generous paid time off and company holidays.
  • Opportunities for professional development and continuous learning in a remote setting.
  • A flexible and supportive remote work environment focused on work-life balance.
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