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Cargo Revenue Analyst, Planning, Analytics
2 months ago
Cathay Pacific Airways Limited is seeking a highly skilled Cargo Revenue Analyst, Planning, Analytics to join our team. As a key member of the Cargo Revenue Management team, you will contribute to setting and measuring network traffic mix to guide our revenue-generating activities, powering commercial decisions with quality and actionable insights.
Key Responsibilities- Revenue Planning
- Facilitate the budget and forecast process for network cargo revenue, traffic volume, and their mix.
- Conduct business performance analysis and provide periodic insights to management.
- Maintain, operate, and enhance various models to improve forecast accuracy.
- Commercial Analytics
- Improve the content and format of commercial analytics regularly to evolve with the changing environment and maximize delivery efficiency by consolidating regular reporting productions.
- Act as the business consultant of In$ight2, our new-generation platform where people and information gather to power business growth.
- Provide expert support to commercial team members on advanced data mining and modeling to resolve complex business problems.
- Partner with internal teams and external parties to ensure that data from various channels and internal reports are correctly collected, stored, and applied.
- Data Science and Solutions
- Conduct data and algorithm experiments to identify relationships and establish logic to enhance revenue management productivity and solutions performance.
- Design and set up revenue management solutions and related decision support tools.
- Develop and implement data collection from primary and secondary sources and other strategies that optimize statistical efficiency and data quality.
- Analyze and measure the effectiveness of solution performance and develop practical, scalable, and quantifiable business improvements.
- Contribute to other initiatives and projects as a subject matter expert involving revenue management data and solutions.
- Bachelor's degree in an analytical discipline, such as Business, Science, and Engineering.
- Prefer 3 years of relevant experience. Prior exposure to Lean, process improvement, and project management would be an advantage. Fresh graduates may also be considered.
- Advanced skills in data management, data mining, BI tools, e.g., Qlikview, SAS, Excel, and basic knowledge in SQL, VBA, etc.
- Proven success in solution development – conduct root cause analysis; influence other stakeholders to implement swift and effective solutions.
- Excellent research and benchmarking capabilities – conduct market research and competitive analysis with extensive experience in data collection, synthesis, and documentation.
- Instinctively numerate – love numbers and, more importantly, curious to understand the story behind numbers and able to drive behavioral improvement through numbers.