Senior Executive, Ancillary Pricing Analyst

Posted:
9/24/2025, 7:17:13 PM

Location(s):
Federal Territory of Kuala Lumpur, Malaysia ⋅ Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Business & Strategy ⋅ Data & Analytics


Job Description

Job Description

- Monitor Airline Ancillary Revenue performance and propose revenue strategy for revenue optimisation at route level

- Identify revenue maximisation opportunities by performing deep-dive analysis on a range of data sources (revenue, customer feedback, marketing)

- Prepare regular performance report and highlight key findings to management

- Actively track market trends and competitor actions to drive pricing strategy

- Assess price change and sales campaign impact towards ancillary revenue performance

- Assist in ancillary base fare filing and tactical pricing adjustments

- Work closely with different stakeholders i.e Route Revenue/ Pricing Ops/ Marketing/ Product/ Data Science/ Operation etc to jointly ensure successful execution of pricing initiative

- Manage small-scale projects as a part of project management responsibilities

- Any other ad-hoc duties as assigned

Traits

- Demonstrate airline business acumen including understanding of airline ancillary products, market dynamics, and passenger behaviour

- Passionate about data-driven insights and ability to recommend appropriate strategies that drives impact to the business

- Ability to work effectively with cross-functional affiliates/partners in a fast-paced environment

- Meticulous, analytical, independent, willingness to learn and a self-starter

Qualifications & Skills

- 1-2 years working experience, experience in aviation, airline strategy, or ancillary revenue is a plus

- Excellent understanding of SQL programming.

- Proficiency in Excel/ google sheets, PowerPoint/ slides, Tableau/ Data Studio, google analytics.

- Experience in working with Google products such as Gsuites, Looker Studio, BigQuery is a plus

- Degree in Data Analytics, Data Science, Computer Science, Accounting, Economics, Business, Mathematics, Statistics, Engineering or Actuarial science