Coupangでは、台湾の物流事業拡大に向けたデータインフラおよびBIソリューションを構築する採用データ管理スペシャリストを募集します。SQLやPythonを活用したデータパイプライン構築とETL/ELT開発の経験が必須であり、関連分野で3年以上の実務経験が求められます。データ分析を通じてビジネスインサイトを導き出し、効率的なデータ管理体制を設計する役割を担います。
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?”
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.
Develop and maintain ETL/ELT processes for data ingestion, transformation, and reporting.
Build scalable and automated data pipelines using SQL and Python.
Design data models and support data warehouse initiatives.
Ensure data quality, governance, and consistency across systems.
Develop scripts and applications to read, write, update, and manage data within relational databases.
Optimize SQL queries and database performance.
Support database integration between internal and external systems.
Troubleshoot data issues and perform root cause analysis.
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.
3+ years of experience in Business Intelligence, Data Analytics, Data Engineering, or related roles.
Advanced SQL skills, including:
Complex joins
Window functions
Stored procedures
Query optimization
Strong Python programming skills for:
Data extraction and transformation
Process automation
Database integration
Data analysis
Hands-on experience reading from and writing to databases (e.g., MySQL, PostgreSQL, SQL Server, Oracle).
Experience developing ETL/ELT pipelines.
Experience with data warehousing concepts and dimensional modeling.
Strong analytical and problem-solving skills.
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.
SQL (Advanced)
Python
ETL/ELT Development
Relational Databases
Data Warehousing
Dashboard Development
AWS (Redshift, S3, Athena, Glue)
Tableau / Power BI
Airflow
Git
Spark / PySpark
