Summer Intern in Process Engineering, DHL Central Asia Hub at Arlington Heights Chrysler Jeep Dodge Ram

Hong Kong Island, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Process Engineering, Data Analytics, MS Office, Tableau, PowerBI, SPSS, Minitab, Python, VBA, Process Flow Documentation, Data Analysis, Presentation Skills, Logistics, Supply Chain Management, Aviation Management

Industry

Description

DHL Express - Connecting People Through Quality and Exceptional Service DHL, a leader in express delivery since 1969, operates in over 220 countries and territories. We strive to be the Employer of Choice and a Great Company to Work for All, creating value for our People, Leaders, Customers, Suppliers, and Communities. Recognized as the No. 1 World’s Best Workplace™ by Great Place to Work and Fortune Magazine, we maintain the highest standards of excellence. We are transforming our operations by embracing digitalization and prioritizing sustainability. Our commitment to diversity, equity, inclusion, and belonging ensures that every individual’s contributions are valued. Join our "Insanely Customer Centric" Team and become a Certified International Specialist—together, we can make a meaningful impact. Start YOUR career with DHL today! WORK LOCATION: DHL Central Asia Hub, HK International Airport (Free shuttle bus from Tung Chung MTR station) YOUR TASKS Analyze current non‑conveyable shipments unloading, sorting and reloading processes and document the detailed process flows Identify areas for improvement in the non‑conveyable shipments handling process and support findings with clear data Develop process enhancement proposals and prepare full-cycle PowerPoint presentations covering the entire analysis YOUR PROFILE Year 2 / 3 student in Industrial & Systems Engineering, Logistics, Supply Chain, Aviation Management or related disciplines Good MS Office skills with knowledge of data analytics tools (Tableau, PowerBI, SPSS or Minitab); Python/VBA is an advantage Good command of spoken and written English, Cantonese and Putonghua Prior part-time or internship experience preferred OUR OFFER Hands‑on career development in an international working environment A supportive, collaborative team culture Great learning and growth opportunities for interns Personal Information Collection Statement pertaining to Recruitment DHL Express (Hong Kong) Limited / DHL Aviation (Hong Kong) Limited (“DHL”) is committed to protecting and respecting your privacy in accordance with the Personal Data (Privacy) Ordinance of Hong Kong (the “Ordinance”) and DHL’s Personal Data Protection Policy (the “Policy”) at https://www.dhl.com/hk-en/home/footer/local-privacy-notice.html By proceeding to respond to this recruitment advertisement, you consent that we may use, retain, process, transfer or otherwise handle the personal data that we collect from you for recruitment, application processing, assessment and communication purposes (including any other purposes directly related thereto) in accordance with the Policy. All personal data of unsuccessful applicants will be retained for future recruitment purposes for a period of not more than two (2) years after which such data will be destroyed. You have the right at any time to make a data access or correction request concerning your personal data held by us. In addition, you may request us to delete your personal data that is no longer required for the relevant purposes which you have given consent. Should you wish to exercise such rights or have any question in relation to your personal data or the Policy, please contact our Human Resources Division in writing. DHL is committed to be an equal opportunity employer. Click Now to submit your application!

Responsibilities

The intern will analyze and document current non-conveyable shipment processes at the DHL Central Asia Hub. They will also identify areas for improvement and develop enhancement proposals supported by data and presentations.