Staff. Data Analyst [CFS Operations(L5-L6)]

Seoul, South Korea

Coupang

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[회사 소개] CFS 쿠팡풀필먼트서비스

CFS (Coupang Fulfillment Services)는 쿠팡의 물류를 총괄하는 쿠팡의 계열사입니다. CFS는 물류센터 또는 FC(Fulfillment Center) 운영을 책임지고 있으며, 업무 효율성과 전문성 제고를 통해 글로벌 이커머스 기업으로 성장하기 위한 혁신을 이끌어 가고 있습니다.

쿠팡의 FC는 상품의 입고, 적재, 포장, 출고 및 반품 등 사후 처리에 이르는 다양한 분야의 전문가들이 함께 일하고 있습니다. FC는 단순한 물류 창고와 다르게 공장 자동화 (Factory Automation) 솔루션과 첨단 기술을 활용하고 있습니다. 제조업 생산 공장과 같이 각각의 업무를 전문화하고, 입고부터 출고까지 데이터를 기반으로 시공간을 효율적으로 관리하여 낭비를 최소화하는 등 최적의 물류 시스템을 구현해 나가고 있습니다.

CFS는 물류 혁신을 통해 고객이 “쿠팡 없이 어떻게 살았을까?” 라고 말하는 세상을 만들고자 합니다. 우리의 역동적인 미래를 함께 만들고 싶다면 CFS와 함께하세요.

 

Sr. Data Analyst Lead [CFS Operations (Fresh and Core)]

[Team Description]

CFS Central Operations Analytics team is responsible for building operation capability and reliability for the entire FC network. Central Operation is the only POC for all stakeholders across Coupang to bring any changes in FC operations. This role entails -

  • deep diving into process and FC operations to find out key problem area where operations team need to focus.
  • impacts entire FC network - Core and Fresh FCs.
  • handling critical tasks related to CLT expectations, escalations and immediate requirements.

 

[Key Responsibilities]

Process Analysis & Optimization 

  • Analyze FC workflow and productivity to identify the areas of improvement
  • Develop process improvement opportunity through quantitative research and operation research methodology.
  • Identify bottlenecks in operations and ideate to mitigate the risk and de-bottleneck

Technology & Automation Support

  • Generate Ideas through Data analysis and work with process and product team to digitize/enhance the operational process
  • Support the deployment of new tools and technologies in operations.
  • Create process flow diagrams, standard operating procedures (SOPs), and business requirement documents (BRDs) - for the projects being handled by operations Analytics team

Data Analysis & Reporting

  • Deep dive into data in every operational process to identify future opportunity and problem that may occur in operations
  • Provide data-driven recommendations to improve operational efficiency
  • Develop reports and dashboards to track key performance indicators (KPIs)
  • Accumulate business/operational requirements for operational improvements
  • You classify, store, and handle data in accordance with Coupang policies.

Stakeholder Collaboration

  • Work closely with cross-functional teams (operations, Process, Control Tower, Finance, HR, etc.) to understand business needs
  • Communicate findings and recommendations to CLTs
  • Act as a POC between Process, Operation and Central Operations teams to ensure smooth execution of projects

 

[Qualifications]

  • Engineering candidate in Computer Science/Industrial engineering (Statistics, mathematics, etc.) with minimum 5 yrs experience
  • Hands-on experience with Python, SQL queries, Databases, Excel, Statistical modeling
  • Power BI and Tableau knowledge is a plus
  • Bilingual (able to Speak/Read/Write Korean and English)

 

[Prefer to have]

  • Degree of Management (Business administration) is added advantage

 

[Location] Seoul, Korea (This is a non-visa sponsorship)

[근무지] 서울 잠실 오피스

 

 

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Tags: Computer Science Data analysis Engineering Excel Finance Industrial KPIs Mathematics Power BI Python Research SQL Statistical modeling Statistics Tableau

Region: Asia/Pacific
Country: South Korea

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