Coupang台湾物流チームにてデータ分析を担当する専門家を募集します。SQLおよびビッグデータ技術の活用能力と3年以上の実務経験が必須です。物流ネットワークや運営データを分析してビジネスインサイトを導き出し、関連部署と連携してデータに基づいた意思決定を主導する役割を担います。
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 analysis and reporting.
Proficiency in Mandarin
Attention to the detail with ability to validate data, identify data flaws, and create analytical reports.
Great ability to think critically and solve nonstructural problems.
The ability to take work into your own hands with a sense of responsibility and exercise judgment to act in a fast-paced and dynamic environment.
Strong communication skills to share analysis results in clear and concise manners.
Middle level English skills (both verbal and written).
Preferred Qualifications:
Remuneration
Recruitment Process
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