[쿠팡] Planning & Analytic

Seoul, South Korea

Coupang

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회사소개

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar commerce industry. We are one of the fastest-growing retail companies that established an unparalleled reputation for being a leading and reliable force in the commerce industry.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. At Coupang, every day is filled with the excitement of building, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and challenge traditional tradeoffs. Join Coupang now to create an epic impact in this always-on, high-tech, and hyper-connected world.

 

조직 소개

Are you passionate about turning data into powerful insights that drive real-world impact? As an Instock Planning Data Analyst, you’ll play a key role in shaping the customer experience by analyzing millions of data points and delivering actionable insights to our Instock Planners and leadership teams.

Your work will directly influence critical areas such as inbound planning, inventory management, and inventory health, helping us ensure the right products are available at the right time—creating a “WOW” experience for our customers.

   

직무 소개 

  • Dive deep into complex datasets to uncover trends, patterns, and opportunities.
  • Deliver meaningful insights that inform strategic decisions across Instock Planning and Analytics.
  • Collaborate with cross-functional teams including Tech, Product, Forecasting, and Data Science to support key initiatives.
  • Define and monitor performance metrics that drive operational excellence.
  • Support inventory health initiatives by identifying risks and recommending solutions.

 

주요 업무 

  • Collaborate cross-functionally with inventory-related teams and systems to maintain and optimize core queries, data pipelines, and performance dashboards.
  • Develop subject matter expertise in inventory policies, InStock planning, and inventory health, becoming a trusted resource for internal stakeholders.
  • Ensure data integrity by resolving inconsistencies in data logic, accuracy, and reporting standards across teams.
  • Design and enhance automated reporting tools, creating dashboards that deliver real-time insights and support strategic decision-making.
  • Leverage data proactively to uncover growth opportunities, improve operational efficiency, and deepen understanding of key business drivers.
  • Define strategic goals and metrics, partnering with cross-functional teams to drive success on collaborative projects.

 

자격 요건

  • Bachelor’s degree in engineering, Business Administration, Data Analytics, or a related field.
  • 3–5 years of hands-on experience in data analytics, with strong proficiency in writing and optimizing SQL queries (mandatory).
  • Proficient in using business intelligence tools such as Tableau or Power BI to build insightful reports and dashboards.
  • Strong analytical and problem-solving skills, with demonstrated expertise in data analysis, planning, and forecasting.
  • Advanced skills in Excel
  • Proven ability to thrive in a fast-paced, dynamic environment with a strong customer-centric mindset.

 

 

우대 사항

  • Experience with ETL processes and data engineering workflows.
  • Familiarity with Python, R, and advanced data visualization tools like Tableau or Power BI.
  • Background in e-commerce, internet-based businesses, or retail, with a proven track record of delivering data-driven insights in these domains.
  • Experience in statistical modeling and inventory/supply chain optimization.

 

 

채용절차

서류전형/사전인터뷰> 전화면접 > 화상면접 > 최종합격

기타안내

- 고용평태는 정규직으로 수습기간 12주를 포함합니다. - 본 공고는 모집 완료 시 조기 마감될 수 있습니다. - 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. - 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. - 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반 사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요한 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다.  https://www.coupang.jobs/kr/privacy-policy/ 서류 반환 정책 본고지는 『채용절차의공정화에관한법률』제11조제6항에 따른 것 입니다. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 ( recruitingops@coupang.com ) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다.
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Category: Analyst Jobs

Tags: Business Intelligence CX Data analysis Data Analytics Data pipelines Data visualization E-commerce Engineering ETL Excel Pipelines Power BI Privacy Python R SQL Statistical modeling Statistics Tableau

Perks/benefits: Startup environment

Region: Asia/Pacific
Country: South Korea

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