Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

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.

1. Delve into underlying technologies: Directly operate Airflow and Presto clusters, participating in the complete lifecycle from Raw Data to Insight.
2. 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 LangChain, 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 LangChain or internal AI tools to build auxiliary analysis agents or automated processes.

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

主要職責：

營運痛點分析與歸因 (Root Cause Analysis)：建構顧客體驗漏斗，從用戶生命週期識別流程問題、營運文題、分析深層原因。

端到端數據管道建構與維護 (ETL & Pipeline)：使用 Presto/Hive SQL 處理大規模數據，負責設計與維護 Airflow DAGs、開發並優化數據市集 (Data Marts)、監控數據管道健康度，確保數據準確性 (Data Quality)。

流程自動化與工具開發 (Automation & Tooling)：使用 Python 開發自動化腳本，整合 Slack、GitHub、Zendesk、Tableau、Presto、Confluence 與各類內部 API 並使用/導入 LangChain、MCP Server，實現各類研究、報表建立、Quality Assurance 等自動化更新與發布，減少人工介入、提升團隊效率

必要條件：

具備處理SQL 查詢 (Recursive CTE, Window Functions, JSON parsing) 的能力。

具備商業分析敏感度，能將模糊的業務問題 (如「為什麼客訴增加？」) 轉化為具體的數據分析專案。

熟悉 Tableau Server 、 Power BI 或相關報表製作與操作。

加分條件：

熟悉客服與工單系統營運數據結構：有客服、電商、物流等類似系統的數據分析經驗。

具備電商或供應鏈領域知識：了解電商商業模式、物流庫存邏輯。

具備 Python 實務開發能力，能夠撰寫自動化腳本、處理 API 串接或進行數據轉換。

熟悉 Airflow 或類似的工作流調度工具，有實際撰寫與維護 DAG 的經驗。

熟悉版本控制工具 (GitHub/Git)，習慣 Pull Request (PR) 審查與協作流程。

AI/LLM 應用經驗：曾使用 LangChain 或內部 AI 工具建構輔助分析的 Agent 或自動化流程。 

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.

1. Delve into underlying technologies: Directly operate Airflow and Presto clusters, participating in the complete lifecycle from Raw Data to Insight.
2. 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 LangChain, 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 LangChain 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/​ 

Hybrid role: 2 days/week in office - Taipei, Taiwan

Role Overview

We are looking for a talented Software Engineer to join our technology team. As a Software Engineer at MediaAlpha, you will take part in all aspects of the software development lifecycle. This includes working with stakeholders in fixing and improving our MediaAlpha Exchange Product and testing new features and integrations. The ideal candidate will enjoy designing, implementing, and scaling systems that process tens of thousands of high-value transactions a day, while also producing elegant and readable code.

Responsibilities

• Work closely with product managers to define product features and plan deliverables and milestones.
• Understand the company's mission, be able to independently communicate and coordinate effectively across departments, and work with the team to complete projects.
• Participate in the overall software development process, write readable and reliable code, and assist in server maintenance.
• Integrate business partners' products and data into the MediaAlpha system, enabling our partners to analyze their data and improve various metrics through the MediaAlpha platform.
• Write technical documentation and user manuals to help users and colleagues understand and use the system.
• Use script languages (e.g., Perl) to develop software on Linux systems and assist with AWS maintenance tasks (EC2, S3, or CloudFront, etc.).

Minimum qualifications:

• Bachelor's degree, preferably in a technical discipline (e.g., computer science)
• 3+ years of experience in software development.
• Familiar with relational databases such as MySQL and proficient in writing high-performance SQL queries.
• Familiar with designing, implementing, and integrating Restful APIs.
• Experienced in development within a Linux operating environment.
• Experience with various third-party API integrations.
• Familiar with JSON and XML formats.
• Skilled in writing unit tests and integration tests.
• Proficient in at least one script language (Perl, PHP, Python, etc.).

Preferred qualifications:

• Experience working with product managers and collaborating across departments.
• Excellent design, coding, and execution skills.
• Strong communication skills.
• Good system design capabilities, able to design highly scalable system architecture.

Language Note:

• Our backend is developed in Perl, and we welcome candidates who are willing to learn it after joining.

Benefit:

• Unlimited paid time off (PTO)
• Flexible work arrangements
• Comfortable office environment with adjustable desk and ergonomic chair
• Lunch provided on Tuesdays and Thursdays
• Can work from home on Mondays, Wednesdays, and Fridays
• Birthday Hookie, a special day for you to plan and enjoy
• Gym membership stipend
• Coffee / snack station
• Team activities and other opportunities to get to know your colleagues in TW
• Health check-up (every two years)
• Festival Bonuses (TWD2,000 for Dragon Boat and Mid-Autumn Holidays)
• Guaranteed annual salary of 13 months, with additional performance bonuses based on the company performance
• Employee stock plan - Restricted Stock Units