Senior Executive, Ancillary Pricing Analyst

Posted:
10/27/2025, 8:17:54 PM

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