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채용

채용Coupang

Senior Data Analyst (Customer-Centric Planning)

Coupang

Senior Data Analyst (Customer-Centric Planning)

Coupang

Taipei, Taiwan

·

On-site

·

Full-time

·

1mo ago

필수 스킬

SQL

Data Analysis

Tableau

Power BI

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

The Customer-Centric Planning team is looking for a Senior Data Analyst with an engineering mindset. You will not only be a user of data but also a builder of data infrastructure. This position highly integrates Data Analysis and Analytics Engineering. You will be responsible for maintaining Airflow ETL processes from multiple internal data sources such as Zendesk, WMS (Warehouse Management System), and OMS (Order Management System), and utilizing Python and AI tools for automation development to support the operation and optimize the experience of teams such as Supplier Support, Customer Support, and Andon.

This is not just a "report-running" job. In the Customer-Centric Planning team, you will:

  • Delve into underlying technologies: Directly operate Airflow and Presto clusters, participating in the complete lifecycle from Raw Data to Insight.

  • Embrace new technologies: We actively introduce AI (Windsurf, Gemini, Copilot) and automation tools to eliminate repetitive tasks.

What You Will Do

  • Quickly support (within hours) and respond to the needs of various operational teams, formulate Ad-Hoc analysis plans, and produce high-quality, highly accurate data reports.

  • Operational Pain Point Analysis and Root Cause Analysis: Building a customer experience funnel, identifying process issues and operational problems from the user lifecycle, and analyzing deep-seated causes.

  • End-to-End Data Pipeline Construction and Maintenance (ETL & Pipeline): Using Presto/Hive SQL to process large-scale data, responsible for designing and maintaining Airflow DAGs, developing and optimizing Data Marts, monitoring data pipeline health, and ensuring data quality.

  • Process Automation and Tool Development (Automation & Tooling): Using Python to develop automation scripts, integrating Slack, GitHub, Zendesk, Tableau, Presto, Confluence, and various internal APIs, and using/introducing Lang Chain, MCP Server to achieve automated updates and releases for various research, report generation, Quality Assurance, etc., reducing manual intervention and improving team efficiency.

Basic Qualifications

  • 3+ years of data analysis or data engineering experience, with the ability to handle complex SQL queries (Recursive CTE, Window Functions, JSON parsing).

  • Possess business analysis sensitivity, capable of transforming vague business problems (e.g., "Why are customer complaints increasing?") into concrete data analysis projects.

  • Familiar with Tableau Server, Power BI, or related report creation and operation.

Preferred Qualifications

  • Familiar with customer service and ticketing system operational data structures: experience in data analysis for similar systems such as customer service, e-commerce, and logistics.

  • Possess e-commerce or supply chain domain knowledge: understanding of e-commerce business models and logistics inventory logic.

  • Possess practical Python development skills, capable of writing automation scripts, handling API integration, or performing data transformation.

  • Familiar with Airflow or similar workflow scheduling tools, with practical experience in writing and maintaining DAGs.

  • Familiar with version control tools (GitHub/Git), accustomed to Pull Request (PR) review and collaboration processes.

  • AI/LLM application experience: experience using Lang Chain or internal AI tools to build auxiliary analysis agents or automated processes.

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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모의 지원자 수

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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

3.8

10개 리뷰

워라밸

2.8

보상

3.9

문화

3.7

커리어

3.4

경영진

3.1

72%

친구에게 추천

장점

Good compensation and benefits

Learning and growth opportunities

Supportive team and collaborative environment

단점

Work-life balance challenges

Management and communication issues

Heavy workload and long hours

연봉 정보

2개 데이터

Principal/L7

Senior/L5

Principal/L7 · Data Scientist L7

0개 리포트

-

총 연봉

기본급

-

주식

-

보너스

-

면접 경험

3개 면접

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