Would You Like To Be An Analyst – Revenue Analysis For The Kenya Airways (KQ)?
You will be responsible for doing analysis that is instrumental in spotting opportunities for improving KQ’s revenues. You will support the department in budgeting forecasting and doing other ad-hoc analyses.
This ranges from calculating the impact of new flights to investigating the impact of oil price on our revenue performance.
You will be instrumental in monitoring and steering our revenues to be in line with company policy.
In this role you will develop your analytical and relational skills and few days will be the same. Therefore, if you are curious by nature, enthusiastic about handling big data and you have a big drive to make an impact this job will fit you well.
Production of analysis on trends in Revenue, Yield, Traffic-flow and booking developments and advises stakeholders on threats, opportunities and steers corrective actions.
Conducting detailed data analysis to develop hypothesis and build business cases to inform strategic trade-offs and decisions.
Developing models & analysis to support decision-making regarding key revenue initiatives across business lines.
Analysing the impact of pricing actions and provides recommendations on improving effectiveness of actions in the future.
Production of regular forecasts on performance and to derive actionable insights from these forecasts to increase revenue.
Creating dashboards and reports for different layers in the organization ranging from the CEO to demand flight analysts.
Be integral to the yearly budgeting process. You analyse past performance while liaising with other commercial departments to arrive at a realistic budget.
Supporting other commercial departments with ad-hoc analyses and share best practices in analysis and reporting.
Taking part and manage departmental projects like the implementation of new analytical systems and tools.
Providing insights through management reports on the performance of airline partnerships, the distribution channels and the various pricing programs in place.
2-4 years of analytical experience in a commercial environment
University degree in a quantitative background (Mathematics, Statistics, Economics, Physics, Finance, Computer Science, Business or Information Technology).