Data Analyst (TW Logistics)

Data Analysis Specialist ( TW Logistics )

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 Overseas” 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:

TW Logistics Data and Analytics team is responsible for domains closely related to the delivery process after shipment, including the delivery network, delivery status, and delivery personnel. To support this, the team handles the entire end-to-end spectrum, including data cleansing, simulation, pre- and post-project impact analysis, data mart design, development and optimization, and report development.

What You Will Do:

• KPI Definition and Reporting: Define and track KPI metrics, create and manage business reports, collaborate with multiple teams to uncover high-level insights, and present findings to key stakeholders and executives.
• Operational Reporting and Insights: Responsible for reporting and insights from an operational perspective, including building and analyzing business data to provide actionable insights.
• Cross-functional Collaboration: Collaborate with Product Managers, Designers, Program Managers, Engineers, and stakeholders to make data-driven decisions.
• Project Simulation and Insight Generation: Lead data simulations for new projects, providing thorough and accurate data-driven insights to support rational business decision-making.

• Essential Qualifications
• 3+ years’ working experience in SQL and data analytics.
• Processes extensive skills in SQL and a wide range of data visualization tools.
• Experience working with big data technologies such as Hadoop, Spark, Presto, and Airflow
• Proficiency in Excel and Google Sheets, including advanced formula usage for data analysi