Job Opportunities API

  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       Support development of data infrastructure, dataset and business intelligence solutions in order to offer a range of data services using data technology       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 Engineering & Automation 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. Database Management 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. 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 Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related field. 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.     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.   Technical Skills Required SQL (Advanced) Python ETL/ELT Dev