Manager of Aviation Marketing Analytics

About the Role

Key Responsibilities

• Lead a team focused on developing models, methodologies, and tools, as well as conducting data analytics and data visualization for airline network planning, economic modeling, and airplane performance.
• Manage, develop, and motivate team members, inspiring them to advance their analytics capabilities, and identify resource needs and recruit new talent as needed.
• Foster effective communication and collaboration with Sales & Marketing IT teams and external technical resources to ensure tools and analytics meet organizational goals.
• Develop, implement, and drive an 'analytics community' across Sales & Marketing to enhance analytical capabilities.
• Serve as the main contact for analytics-, IT-, and tool-related initiatives in Marketing, guiding cross-functional teams to identify needs and develop solutions.
• Ensure data purchases support business needs, coordinate data source renewals, and lead assessments of new data sources.
• Guide the marketing organization in transforming work processes by understanding emerging data/information technologies in partnership with the Digital Transformation team.
• Identify opportunities for increased effectiveness within Sales & Marketing and ensure clear communication between technical and non-technical teams.
• Work effectively across multiple tools, functions, and teams to achieve business objectives, integrating systems and extracting insights from data.

Requirements

• Bachelor's degree or higher.
• 1+ years of experience leading teams in a formal management role.
• 3+ years of experience supporting data analytics, developing new tools, or working with information technology.
• 1+ years of experience working in the aviation industry.

Nice to Have

• Master's degree.
• Familiarity with airline industry data sources such as global demand data, flight schedule data, and operational flight data.
• Experience supporting the Commercial Sales & Marketing organization.

Qualifications

• Educational background as specified in requirements.
• Experience supporting data analytics and tools development in a relevant industry.

Benefits & Perks

• Competitive base pay and variable compensation opportunities.
• Health insurance, flexible spending accounts, health savings accounts.
• Retirement savings plans, life and disability insurance programs.
• Paid and unpaid time off programs.