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Capacity Planning Manager (Lastmile Management)

Coupang

Capacity Planning Manager (Lastmile Management)

Coupang

Taipei, Taiwan

·

On-site

·

Full-time

·

1w ago

Required Skills

Data analysis

Excel

SQL

Python

Tableau

Company Introduction

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 Oversea” 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?”

Role Overview

As a Capacity Planning Manager(Lastmile Management), you will lead the execution of logistics capacity planning across last mile and middle mile operations. This role is responsible for executing the action plans including managing daily and monthly capacity, and driving operational efficiency through data-driven workforce and performance analysis. You will work closely with cross-functional teams to ensure scalable and cost-effective logistics execution.

What You Will Do

  • Lead the execution and coordination of capacity planning models for last mile logistics, ensuring alignment with operational goals.

  • Own the daily and monthly manpower and asset planning processes, and collaborate with operations teams to ensure timely and effective execution.

  • Analyze driver performance and cost models to identify productivity gaps and optimize route/area-level efficiency.

  • Drive the implementation and continuous improvement of workforce planning tools to enhance forecasting accuracy and operational agility.

Basic Qualifications

  • 5+ years of relevant experience in logistics last mile and middle mile.

  • Proven experience in data processing and analysis to build models that support business decisions.

  • Strong communication skills across various contexts.

  • Strong analytical mindset and data-driven approach.

  • Proficiency in MS Office, Advanced Excel, Google Sheet, Tableau and SQL/Python.

Preferred Qualifications

  • Degree in Business, Logistics, Supply Chain, or Industrial Engineering.

  • Experience in planning and project management.

Recruitment Process and Others

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.

Details 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.

  • Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

  • Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​

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About Coupang

Coupang

An e-commerce platform that offers a wide variety of products, including apparel, electronics, and home goods.

10,001+

Employees

Seoul

Headquarters

$109B

Valuation

Reviews

2.5

9 reviews

Work Life Balance

2.1

Compensation

2.8

Culture

2.4

Career

3.2

Management

1.9

25%

Recommend to a Friend

Pros

Growth opportunities and career advancement

Good compensation and timely pay

Remote work flexibility

Cons

Poor work-life balance and long hours

Toxic management and controlling behavior

Poor working conditions and workplace safety

Salary Ranges

1 data points

Principal/L7

Senior/L5

Principal/L7 · Data Scientist L7

0 reports

-

total / year

Base

-

Stock

-

Bonus

-

Interview Experience

2 interviews

Difficulty

4.0

/ 5

Offer Rate

50%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Behavioral/Culture Fit Interview

4

Coding Interview

5

Technical Interview

6

Final Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit