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4 дня назад

Manager, Data Analyst (SCM Automation)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
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
Manager, Data Analyst (SCM Automation) (Supply Chain Analytics/AI): Developing demand forecasting, inventory attribution models, and analytical prototypes for Coupang’s Taiwan supply chain with an accent on SQL, Python/R, generative AI, and product analytics. Focus on designing smart heuristics, productionizing proof-of-concepts, explaining supply chain KPI drivers, and translating complex analysis into business decisions.

Location: Taipei, Taiwan

Company

hirify.global is an e-commerce company developing shopping and delivery services, including Rocket Delivery and Rocket Oversea, while expanding its operations in Taiwan.

What you will do

  • Identify weaknesses in supply chain systems and develop heuristics to improve demand forecasting, out-of-stock attribution, and excess inventory analysis.
  • Build rapid proof-of-concepts, including dashboards for root-cause analysis of stockout events.
  • Design experiments, A/B tests, cohort studies, and product launch effectiveness analyses.
  • Use large language models and prompt engineering to automate unstructured data workflows and internal analytics.
  • Partner with Demand Planning and Engineering to productionize validated analytical solutions in inventory planning systems.
  • Own analytics for supply chain KPIs such as forecast accuracy, sell-through, and forecast coverage, and communicate business implications to technical and non-technical stakeholders.

Requirements

  • 8+ years of relevant experience in data analytics or business intelligence.
  • Expert proficiency in SQL and Python or R for data extraction and manipulation.
  • Practical experience with prompt engineering and generative AI tools for data problem-solving or content automation.
  • Expertise in Power BI, Tableau, or similar data visualization tools.
  • Business-level English fluency and the ability to teach and onboard non-technical business users.

Nice to have

  • Experience with GitHub and workflow orchestration tools such as Airflow.
  • Experience managing internal wikis or structured knowledge bases using tools such as Confluence or Notion.
  • Background in retail, e-commerce, or demand forecasting.
  • Knowledge of statistics and machine learning techniques, including elasticity modeling and customer segmentation.

Culture & Benefits

  • Work with Supply Chain, Demand Planning, Engineering, and cross-functional business partners.
  • Opportunity to turn analytical prototypes into production systems used for inventory planning.
  • Equal-opportunity workplace with non-discrimination protections for disabled applicants and veterans.

Hiring process

  • Application review, phone interview, onsite or virtual onsite interview, and offer.
  • The process and interview schedule may vary depending on the role and circumstances.

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