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Senior Data Analyst (Customer-Centric Planning)

Coupang

Senior Data Analyst (Customer-Centric Planning)

Coupang

Taipei, Taiwan

·

On-site

·

Full-time

·

1w ago

Required Skills

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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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