Work Location: Cyberport Office

In this role, you will assist the APAC Marketing department in several aspects such as pricing analysis and pricing project management. You will work closely with several internal parties to achieve departmental goals. We are looking for candidates who possess strong analytical, problem solving and project management skills. You need to be a good team player with excellent communication, presentation skills and able to work with broad level of professionals. You are required to have strong sense of accountability, self-motivation and ability to work under pressure.

A candidate with a bachelor’s degree in Statistics, Marketing Analysis, or Business/Finance related subjects, solid experience in Excel, is a must. Knowledge in SQL, VBA and MS Access will be a further advantage. You should have at least two years working experience in relevant fields. Candidates with less experience will be considered for an appropriate position in the team.

Join FedEx and you'll be rewarded with an excellent remuneration package including two month's year-end bonus, medical and dental benefits, life insurance, retirement benefits, tuition assistance, annual leave, discounted tickets and promotional prospects.

If you are interested in joining us, please send us your application letter and resume including expected salary in a sealed envelope marked "CONFIDENTIAL" and attention to the address below.

The Human Resources Department, Federal Express (Hong Kong) Limited 27/F, Nanyang Plaza, 57 Hung To Road, Kwun Tong, Kowloon (Please quote the Ref. No. on the envelope and letter)

All information provided by applicants will be treated in strict confidence and used only for recruitment purpose in accordance with the employer's personal data policies. A copy of Personal Information Collection Statement (PICS) will be provided upon request. Please write to Human Resources Department. Applicants who are not invited to an interview within four weeks may consider their applications unsuccessful. All personal data of unsuccessful applicants will be destroyed after two years.