Intern - CastleGate Forwarding - Engineering

AI Job Summary

What You Will Do

  • Using the operational data to measure the performance of different vendors to identify area of improvements.
  • Identify the gap in supplier experience and redesign the process.
  • Identify new business opportunities, or gap in existing operations.
  • Compare our service offering against other digital freight forwarders and traditional logistics companies.
  • Identify the gap in our system logic to further enhance the resources utilization.
  • Optimize the shipment strategy under different business requirements.
  • Communicate with CFS / Ocean agents / internal teams to ensure follow-through on replenishment orders and inventory commitments and to enable best real time decisions.
  • Work on different datasets to enable operations to monitor the business performance.
  • Support tech roadmap building and tool development (incl. defining product requirement, logic build, user acceptance test) to drive improvements in the end-to-end logistics systems, data, and processes; including light modeling to validate hypotheses, de-risk engineering, data science investments and require doing a high volume of data analysis.
  • Drive root cause analysis/reporting on operational issues, developing action plans and project managing improvements.
  • Conduct process mapping to identify the improvement opportunities and execute change management to implement.
  • Conduct research, quantitative analyses and build business models and prioritization matrices to drive decisions and development of value-added service (e.g. supplier product performance analysis; origin milk-run optimization).
  • Align teams (Operations, Ocean, CFS etc.) to ensure strong execution and to understand and manage the drivers that impact operational execution. 

Required Skills and Abilities

  • University Student in bachelor's degree in Engineering, Information System, Business, Mathematics or a Supply Chain/Operations discipline.
  • Experience with Microsoft Office, and proficiency with SQL (or a system of equal complexity) / Python. 
  • Strong quantitative experience, with the ability to conduct statistical analysis, generate insights and solutions or build a story and strategy from large data sets.
  • Strong written and verbal communication skills, with the ability to lead discussions and communicate effectively.
  • Quick learner with an analytical approach to solving problems as part of a team who has good communication skills.
  • Ability to work with people in a cross-functional environment.
  • Proficient in spoken and written English and Chinese; Cantonese & Putonghua. 

5 Working Days.

Duration: 2 months – Starting from mid of June.

About Us:

Wayfair is the destination for all things home: helping everyone, anywhere create their feeling of home.  

From expert customer service to the development of tools that make the shopping process easier, to carrying one of the widest and deepest selections of items for every space, style, and budget, Wayfair gives everyone the power to create spaces that are just right for them. 

Closing in 8 days
Closing in 8 days
  • Job type:Internships
  • Disciplines:
    Engineering
  • Citizenships:
  • Locations:
    Hong Kong
  • Closing Date:28th May 2024, 6:00 pm

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