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Coupang
Coupang

한국 최대 이커머스 기업

Senior Business Analyst (Logistics Operation Center)

직무데이터 분석
경력시니어급
위치Taipei, Taiwan
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

SQL

Data Visualization

Data Analysis

Critical Thinking

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 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?”

Role Overview

As part of the Logistics Operations Center (LOC), our mission is to optimize PDD (Promise Delivery Date) performance and elevate consumer satisfaction through data-driven insights and operational excellence. This role will focus on monitoring and improving key metrics across first-mile, middle-mile, and last-mile operations, partnering with stakeholders to identify opportunities and implement impactful solutions.

What You Will Do* *

  • Reporting & Dashboard Development: Transition existing TW logistics reports from KR team (primarily last-mile) and design comprehensive dashboards covering first-mile, middle-mile, and last-mile to ensure end-to-end visibility of transportation processes.

  • Operational Performance Improvement: Collaborate with LOC specialists, hub managers, and TW logistics leadership to drive PDD improvements and enhance customer experience.

  • Cross-Functional Problem Solving: Partner with diverse teams to align on problem statements, decompose complex issues into actionable analyses, and communicate insights effectively.

  • Advanced Data Analysis: Perform hands-on, in-depth analysis of large datasets, validate data integrity, identify root causes, and propose practical, data-driven solutions.

  • KPI Definition & Management: Establish and track key performance indicators, develop business reports, and deliver actionable insights to senior stakeholders.

  • Operational Insights: Generate and interpret operational data to provide strategic recommendations that improve efficiency and service quality.

  • Project Simulation & Forecasting: Lead data simulations for new initiatives, delivering accurate insights to support informed decision-making.

  • Stakeholder Engagement: Collaborate with Product Managers, Engineers, Program Managers, and other stakeholders to enable data-driven decisions across the organization.

Basic Qualifications

  • Experience: Minimum 4 years in analytical roles within operations, process optimization, internal audit, or policy analysis (e.g., Process Analyst, Operations Analyst, Audit Analyst, Systems Analyst, Policy Analyst, Financial Analyst).

  • Technical Skills: Proficiency in SQL and data visualization tools (Tableau, Power BI required). Familiarity with big data technologies (Hadoop, Spark, Presto, Airflow) and scripting languages (Python preferred).

  • Analytical Expertise: Strong critical thinking, ability to handle unstructured problems, and attention to detail in validating and interpreting data.

  • Ownership & Agility: Self-starter with a strong sense of responsibility, capable of thriving in a fast-paced, dynamic environment.

  • Communication: Excellent ability to present complex analyses clearly and concisely to stakeholders.

Preferred Qualifications

  • Language: Strong English proficiency (verbal and written).

  • Education: Bachelor’s or Master’s degree in Statistics, Industrial Engineering, or related field (or equivalent professional experience).

  • Technical Proficiency: Hands-on experience with Python, R, SAS, or other statistical tools.

  • Collaboration: Ability to work effectively across teams and communicate insights that influence strategic decisions.

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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Coupang 소개

Coupang

Coupang

Public

Coupang, Inc. is a South-Korean-founded and American Delaware-incorporated technology and online retail company headquartered in Seattle, Washington and incorporated in Delaware.

10,001+

직원 수

Seoul

본사 위치

$109B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

2.8

보상

4.0

문화

3.9

커리어

3.5

경영진

3.2

72%

지인 추천률

장점

Good compensation and benefits

Learning and growth opportunities

Collaborative team environment

단점

Poor work-life balance

Management communication issues

High stress and workload

연봉 정보

2개 데이터

Principal/L7

Senior/L5

Principal/L7 · Data Scientist L7

0개 리포트

-

총 연봉

기본급

-

주식

-

보너스

-

면접 후기

후기 3개

난이도

3.0

/ 5

합격률

33%

경험

긍정 0%

보통 67%

부정 33%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Round

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit