Recruitment Data Management Specialist

Posted 6 Days Ago
Be an Early Applicant
Taipei City, TWN
In-Office
Mid level
eCommerce • Fintech • Logistics • Retail
The Role
Build and maintain scalable data solutions, pipelines, databases, dashboards, and reporting systems. Partner with stakeholders to define KPIs, perform ad-hoc analysis, identify trends and risks, automate data processes, and communicate insights. The role requires advanced SQL, database management, business intelligence tools, data warehousing, and dimensional modeling, with preferred experience in cloud platforms, Airflow, Git, Python, statistical analysis, and forecasting.
Summary Generated by Built In

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  

We are seeking a talented and motivated Data Engineer to design, build, and maintain scalable data solutions that support business operations and analytics. The ideal candidate will have strong expertise in Python, SQL, ETL development, and database management, with hands-on experience building data pipelines, integrating various data sources, and ensuring data quality.
This role will work closely with business stakeholders, analysts, and engineering teams to develop reliable and efficient data infrastructure that enables data-driven decision-making。
  

  

What You Will Do 
Business Intelligence & Analytics
  • Partner with business stakeholders to understand business requirements and translate them into data-driven solutions.

  • Define, develop, and maintain key performance indicators (KPIs) and operational metrics.

  • Perform ad-hoc analysis and provide actionable insights to support business decisions.

  • Identify trends, risks, and opportunities through data analysis.

Data Automation
  • Build scalable and automated data pipelines using SQL

 Reporting & Visualization
  • Create and maintain dashboards, reports, and visualizations using BI tools.

  • Deliver recurring and ad-hoc reporting solutions to business teams.

  • Communicate complex analytical findings clearly to technical and non-technical audiences.

  



Basic Qualifications  


  • Bachelor's degree in Information Systems, Statistics, Mathematics, Engineering, or a related field.

  • 3+ years of experience in Business Intelligence, Data Analytics related roles.

  • Advanced SQL skills, including:

    • Complex joins

    • Window functions

    • Stored procedures

    • Query optimization

  • Hands-on experience reading from databases (e.g., MySQL, PostgreSQL, SQL Server, Oracle).

  • Familiar with at least one BI tools (Power BI, Tableu, Looker studio)

  • Experience with data warehousing concepts and dimensional modeling.

  • Strong analytical and problem-solving skills.

  



Preferred Qualifications 

  • Experience with cloud platforms such as AWS, Azure, or GCP.

  • Knowledge of data orchestration tools such as Airflow.

  • Experience with BI tools such as Tableau, Power BI, QuickSight, or Looker.

  • Familiarity with version control systems such as Git.

  • Experience working in large-scale, fast-paced environments.

  • Knowledge of statistical analysis and forecasting techniques.

  • Strong Python programming skills for:

    • Data extraction and transformation

    • Process automation

    • Database integration

    • Data analysis



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/​ 

  

  

Please complete the attached Internal Transfer Request Form and submit.   

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

  

Skills Required

  • Bachelor's degree in Information Systems, Statistics, Mathematics, Engineering, or a related field
  • 3+ years of experience in Business Intelligence or Data Analytics-related roles
  • Advanced SQL skills, including complex joins, window functions, stored procedures, and query optimization
  • Hands-on experience reading from databases such as MySQL, PostgreSQL, SQL Server, or Oracle
  • Familiarity with at least one BI tool, such as Power BI, Tableau, or Looker Studio
  • Experience with data warehousing concepts and dimensional modeling
  • Strong analytical and problem-solving skills
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Knowledge of data orchestration tools such as Airflow
  • Experience with BI tools such as Tableau, Power BI, QuickSight, or Looker
  • Familiarity with version control systems such as Git
  • Experience working in large-scale, fast-paced environments
  • Knowledge of statistical analysis and forecasting techniques
  • Strong Python programming skills for data extraction, transformation, process automation, database integration, and data analysis
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The Company
108,000 Employees
Year Founded: 2010

What We Do

Coupang is a U.S. technology and global commerce company founded in 2010, operating online retail and cross-border commerce, restaurant delivery, video streaming, and fintech/payment services. Through brands including Coupang, Eats, Play, Rocket Now, and Farfetch, it uses technology, logistics, and fulfillment infrastructure to serve millions of customers in Korea, Taiwan, the United States, and more than 190 countries and territories worldwide.

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