Data Analysis Specialist (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 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:

• English skills (intermediate)
• Educational Background: Bachelor’s or Master’s degree in Statistics, Industrial Engineering, or a related field. Equivalent professional experience will also be considered.
• Analytical Skills : Strong critical thinking and problem- solving abilities, especially in handling unstructured problems. Detail-oriented with a high level of accuracy.
• Initiative & Ownership : Proactive and self-driven, with a strong sense of responsibility. Capable of prioritizing tasks and making sound decisions in a fast-paced, dynamic environment.
• Technical Proficiency : Hands-on experience with Python, R, SAS, or other statistical software/tools.
• Communication: Able to clearly communicate analytical
• insights and collaborate effectively across teams.

Remuneration

• Monthly salary of more than NT$ 40,000 (fixed or variable salary varies depending on personal qualifications or performance).

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/

Equal Opportunities for All

• Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.