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13 дней назад

Staff Data Analyst (Pricing)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Taiwan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Data Analyst (Pricing) (SQL/Python/Tableau): Developing pricing reports, metrics, and decision-making algorithms for Coupang’s Taiwan e-commerce operations with an accent on statistical analysis, data quality, and actionable business insights. Focus on prioritizing metric development, explaining algorithmic results to technical and non-technical stakeholders, and mentoring junior analysts.

Location: Taipei, Taiwan

Company

hirify.global operates an e-commerce platform in Taiwan, including Rocket Delivery and international Rocket Overseas delivery services.

What you will do

  • Develop business operations decision-making systems and pricing-related reports.
  • Analyze domain data, define key metrics, and deliver actionable insights.
  • Explain reports, algorithm details, and results to technical and non-technical stakeholders.
  • Prioritize metric development requests and lead support for key business initiatives.
  • Maintain and improve reports and systems using updated methodologies and technologies.
  • Train and mentor junior data analysts.

Requirements

  • MS degree in mathematics, statistics, a technical field, or a business field; BS degree accepted with longer experience.
  • 6+ years of experience with an MS degree or 9+ years with a BS degree in data science, business analytics, or another quantitative field.
  • Excellent SQL skills and proficiency in English.
  • Strong presentation and communication skills, with knowledge of statistical analysis and algorithm design.
  • Experience initiating analytics projects, delivering business recommendations, and creating Tableau, Grafana, or similar reports.
  • Experience with Python libraries, Spark, R, GitHub, and Airflow.

Nice to have

  • Experience in retail or e-commerce.

Culture & Benefits

  • Data-driven culture based on high-velocity testing and learning.
  • Collaboration with Pricing, Retail Commerce, 3P Commerce, Promotions, product owners, engineers, and business analysts.
  • Equal-opportunity workplace with non-discrimination protections.

Hiring process

  • Application review, phone interview, onsite or virtual onsite interview, and offer.
  • The process and scheduling may vary by role; updates are sent by email.

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