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Staff Data Analyst

Coupang


Job Location:

Taipei City - Taiwan

Monthly Salary: Not provided by the employer
Posted: 20 August 2026 (16 days ago)
Application Deadline: 17 November 2026
Vacancies: 1 Vacancy

Job Summary

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.

Key Responsibilities:
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

Qualifications:
MS in math statistics other technical or business fields (BS with longer experience)
6 job 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
Relevant working experience in retail/e-commerce business


Required Experience:

Staff IC


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