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Staff Data Analyst

Coupang · Not provided by source

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MeritLog keeps this source-backed description for reference. Availability is not verified, and there is no application link here.

Last seen by MeritLog September 8, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

Source: the employer's Greenhouse job board. Open the original listing for current details. Availability is not verified for this retained page.

Job details

Work model
Not provided by source
Salary
Not listed by source
Location
Taipei, Taiwan
Occupation
Database Architects(O*NET 15-1243.00)

What the role asks for

What you'd 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

What they're asking for

  • MS in math, statistics, other technical or business fields (BS with longer experience)Education
  • 6+ job years’ experience in data science, business analytics and other quantitative fields with MS, 9+ years’ experience with BSEducation
  • Excellent skills in SQLSkill
  • Proficient in EnglishSkill
  • Strong presentation and communication skillsSkill
  • Good understanding of statistical analysis and algorithm designSkill
  • Experience to initiate and drive analytics projects and deliver actionable insights and recommendations to business.Skill
  • Experience with creating Tableau, Grafana, or similar GUI based reportsSkill
  • Experience with data analytics tools such as relevant Python libraries, Spark, R as well as engineering tools such as GitHub and AirflowSkill
  • Relevant working experience in retail/e-commerce businessSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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

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