Senior Aviation Data Analyst

About the Role

Our client is looking for an analytical and experienced Senior Aviation Data Analyst to join their team in Sheffield . You will be instrumental in collecting, analyzing, and interpreting complex aviation data to provide actionable insights that drive strategic decision-making. This hybrid role allows for flexibility, combining remote data analysis with on-site collaboration with key stakeholders. Your expertise will be critical in optimizing operations, enhancing safety, and identifying new opportunities within the aviation sector . You will leverage cutting-edge tools and techniques to unlock the value hidden within vast datasets.

Key Responsibilities

• Collect, clean, and transform large datasets from various aviation sources.
• Develop and implement statistical models and data mining techniques to identify trends and patterns.
• Create insightful reports, dashboards, and visualizations for management and operational teams.
• Provide data-driven recommendations to improve operational efficiency, safety, and customer experience.
• Collaborate with IT and engineering teams to ensure data integrity and accessibility.
• Mentor junior data analysts and contribute to the development of data analytics best practices.

Requirements

• Master's degree in Data Science, Statistics, Aviation Management, or a related quantitative field.
• 5+ years of experience in data analysis, with a significant focus on the aviation industry.
• Proficiency in data analysis tools such as Python, R, SQL, and BI platforms (e.g., Tableau, Power BI).
• Strong understanding of statistical modeling, machine learning, and data visualization techniques.
• Excellent problem-solving skills and the ability to translate complex data into clear insights.
• Strong communication and presentation skills.

Benefits

• Attractive salary with performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous pension scheme.
• Support for professional development and continuous learning.
• Hybrid work model offering excellent work-life balance.