Data Analyst (TW Logistics)
Taipei, Taiwan
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingTW 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.
Define and track KPI metrics and manage business reports
Build and analyze operational business data to give actionable insights
Lead data simulations for new projects to support business decisions
Present findings to key stakeholders and executives
Work with product, design, program and engineering teams on data-driven decisions
From the employer’s posting
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.
Define and track KPI metrics, create and manage business reports
building and analyzing business data to provide actionable insights
Lead data simulations for new projects
present findings to key stakeholders and executives
Collaborate with Product Managers, Designers, Program Managers, Engineers, and stakeholders to make data-driven decisions
What you’ll bring
All qualificationsCore experience
- 3+ years of SQL and data analytics experience
- Experience with big data tools such as Hadoop, Spark, Presto, Airflow
- Advanced Excel and Google Sheets skills
- Proficiency in Mandarin
- Middle-level English, verbal and written
Preferred experience
- Communication: Able to clearly communicate analytical insights and collaborate effectively across teams.
Qualification wording
3+ years’ working experience in SQL and data analytics
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
Middle level English skills (both verbal and written)
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.
Education & alternatives
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. Recruitment Process
Tools in this posting
- Python
- R
- SAS
- SQL
- Excel
- Hadoop
- Spark
- Airflow
Source — Tool mentions in context
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. Recruitment Process
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:
Posting record
Report an errorOpen 3 monthsWe first saw this posting 115 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 6, 2026 · 115 days ago
- Recorded sightings
- 274
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on www.coupang.jobs. The employer’s form will show what is required.
Already applied? Track this application
Job description
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.
Recruitment Process
Application Review - Job Fit Interview - Focus 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.
Source details
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Taipei, Taiwan
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