Coupang logo

Coupang

Company

Senior Supply Chain Data Analyst - Instock Management

Taipei, Taiwan

Job Description

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.
We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”
 
Position : Senior Supply Chain Data Analyst - Instock Management

We are seeking a highly analytical and detail-oriented supply chain data analyst with a strong focus on data management to join our instock team. This role is critical in ensuring optimal inventory levels, driving data accuracy, and enabling efficient supply chain operations. You will collaborate cross-functionally with supply chain, merchandising, and technology teams to improve instock performance through data-driven insights and scalable processes.

 
What you will do?
  • Own and optimize instock metrics (e.g., in-stock rate, fill rate, lost buy box) through data analysis and root cause identification.

  • Develop and maintain robust data pipelines and dashboards to monitor inventory health and performance.

  • Partner with tech and analytics teams to improve data quality, automate reporting, and enhance forecasting models.

  • Lead initiatives to cleanse, enrich, and standardize product and inventory data across systems.

  • Identify and resolve data discrepancies impacting inventory availability and customer experience.

  • Support promotional and seasonal planning through data-driven instock strategies.

  • Drive continuous improvement in inventory accuracy, replenishment algorithms, and vendor performance metrics.

  • Communicate insights and recommendations to senior leadership through clear, actionable reports

Essential Qualifications:
  • Bachelor’s degree in Business, Supply Chain, Data Science, or related field.

  • 5+ years of experience in inventory management, supply chain, or data analytics.

  • Strong proficiency in SQL, Excel, and data visualization tools (e.g., Power BI, Tableau).

  • Experience working with large datasets and translating data into business insights.

  • Excellent problem-solving, communication, and stakeholder management skills.

Preferred Qualifications:

  • Master’s degree or equivalent experience in a quantitative field.

  • Experience in retail, e-commerce.

  • Familiarity with forecasting models and machine learning applications in inventory planning.

Recruitment Process
  • Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
  • The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
  • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Things to Consider
  • This job posting may be closed prior to the stated end date for application if all openings are filled.
  • Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
  • Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.
Privacy Notice
  • Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: 

Please mention that you found this job on MoAIJobs, this helps us grow. Thank you!

Coupang logo

Coupang

64 jobs posted

View all Coupang jobs

About the job

Posted on

Oct 29, 2025

Apply before

Nov 28, 2025

Job typeFull-time
CategoryData Analyst

Share this job opportunity