Staff Data Analyst (Pricing)
Taipei, Taiwan
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingAs our Staff Data Analyst for TW Pricing team, you will be responsible for ensuring the quality of regular reports and metric as well as helping with system wide decision-making algorithms.
Develop business operations related decision-making systems to improve the efficiency of business operations
Analyze domain data to provide insights and help develop key metrics
From the employer’s posting
As our Staff Data Analyst for TW Pricing team, you will be responsible for ensuring the quality of regular reports and metric as well as helping with system wide decision-making algorithms. Coupang embraces a data driven culture enabled by high velocity test and learn across all customer facing domains. You will have opportunities to work closely with many different areas including, Pricing, Retail Commerce, 3P Commerce, and Promotions. You will join a team of data analysts dedicated to building reports and system support algorithms, serving all of these areas and the associated users including product owners, engineers and business analysts.
What You Will Do: Develop business operations related decision-making systems to improve the efficiency of business operations Analyze domain data to provide insights and help develop key metrics
Develop business operations related decision-making systems to improve the efficiency of business operations Analyze domain data to provide insights and help develop key metrics Explain reports, algorithm details, and results to both technical and non-technical stakeholders
What you’ll bring
All qualificationsCore experience
- 6+ years’ experience in data science, business analytics and other quantitative fields with MS, 9+ years’ experience with BS
- Good understanding of statistical analysis and algorithm design
- Experience to initiate and drive analytics projects and deliver actionable insights and recommendations to business.
- Experience with creating Tableau, Grafana, or similar GUI based reports
- Experience with data analytics tools such as relevant Python libraries, Spark, R as well as engineering tools such as GitHub and Airflow
Qualification wording
6+ years’ experience in data science, business analytics and other quantitative fields with MS, 9+ years’ experience with BS
Good understanding of statistical analysis and algorithm design
Experience to initiate and drive analytics projects and deliver actionable insights and recommendations to business.
Experience with creating Tableau, Grafana, or similar GUI based reports
Experience with data analytics tools such as relevant Python libraries, Spark, R as well as engineering tools such as GitHub and Airflow
Tools in this posting
- Python
- R
- Grafana
- Spark
- Tableau
- SQL
- Airflow
Source — Tool mentions in context
- Experience with creating Tableau, Grafana, or similar GUI based reports - Experience with data analytics tools such as relevant Python libraries, Spark, R as well as engineering tools such as GitHub and Airflow Preferred Qualifications:
- Experience to initiate and drive analytics projects and deliver actionable insights and recommendations to business. - Experience with creating Tableau, Grafana, or similar GUI based reports - Experience with data analytics tools such as relevant Python libraries, Spark, R as well as engineering tools such as GitHub and Airflow
- 6+ years’ experience in data science, business analytics and other quantitative fields with MS, 9+ years’ experience with BS - Excellent skills in SQL - Proficient in English
Job description
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:
As our Staff Data Analyst for TW Pricing team, you will be responsible for ensuring the quality of regular reports and metric as well as helping with system wide decision-making algorithms. Coupang embraces a data driven culture enabled by high velocity test and learn across all customer facing domains. You will have opportunities to work closely with many different areas including, Pricing, Retail Commerce, 3P Commerce, and Promotions. You will join a team of data analysts dedicated to building reports and system support algorithms, serving all of these areas and the associated users including product owners, engineers and business analysts.
What You Will Do:
- Develop business operations related decision-making systems to improve the efficiency of business operations
- Analyze domain data to provide insights and help develop key metrics
- Explain reports, algorithm details, and results to both technical and non-technical stakeholders
- Prioritize the metric development requests and lead the junior DAs to support key business initiatives in the company
- Keep the developed reports and systems up-to-date, including learning and deploying new technologies, both in methodology and in technical / software
- Train and mentor junior team members
Basic Qualifications
- MS in math, statistics, other technical or business fields (BS with longer experience)
- 6+ years’ experience in data science, business analytics and other quantitative fields with MS, 9+ years’ experience with BS
- Excellent skills in SQL
- Proficient in English
- Strong presentation and communication skills
- Good understanding of statistical analysis and algorithm design
- Experience to initiate and drive analytics projects and deliver actionable insights and recommendations to business.
- Experience with creating Tableau, Grafana, or similar GUI based reports
- Experience with data analytics tools such as relevant Python libraries, Spark, R as well as engineering tools such as GitHub and Airflow
Preferred Qualifications:
- Relevant working experience in retail/e-commerce business
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.
- Coupang does not discriminate against disabled applicants or those with veteran status.
- We are proud to offer equal opportunities for all applicants.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary 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
Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Taipei, Taiwan
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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- Status in our records
- Active
- First seen by us
- Aug 13, 2026
- Recorded sightings
- 115
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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