About Coupang

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.

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 at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, 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 break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Job description:

We are seeking an exceptionally pragmatic and results-driven Lead Data Analyst to be the strategic core of our Supply Chain team. Your mission is to solve our toughest inventory challenges—from preventing stockouts to clearing excess goods. This is not a back-office reporting role. You will be a hands-on catalyst who can "figure things out," develop clever solutions, and collaborate across the company to see your insights implemented in our production systems.

Key responsibilities:

Lead the Full Cycle from Idea to Production-Ready Insight: 

1. Ideate & Develop Smart Heuristics: Proactively identify weaknesses in our supply chain systems and develop clever, practical logic. Your focus will be on forecast correction logic (to override our main models when they fail), Out-of-Stock (OOS) attribution models, and excess inventory flagging rules.
2. Build Rapid Proof-of-Concepts (POCs): Quickly validate your ideas with hands-on POCs. You will build working prototypes, such as a Root Cause Analysis dashboard that automatically attributes OOS events to causes like 'Supplier Delay' or 'Under-forecasting'.
3. Champion for Productionalization: Partner closely with our Demand Planning and Engineering teams to get your validated POCs productionalized. You are the subject-matter expert who ensures your logic is accurately integrated into our core inventory planning systems.

Become the Go-To Expert on Inventory Health: Own the analytics around our key supply chain KPIs, including Out-of-Stock rates and Sell-Through. You will not just report on these numbers; you will provide the "why" behind them.

Act as a Data Translator: Proactively communicate with technical and non-technical partners, ensuring stakeholders understand not just the 'what' but the 'so what' of your findings. You are the bridge that turns complex analysis into clear business directives.

Mentor and Elevate: As a lead, you will guide and mentor other analysts on the team, establishing best practices for high-impact, efficient, and reproducible analysis.

Qualifications: 

• 7+ years of professional experience in data analytics, business intelligence, or a related quantitative field.
• Development background is highly preferred. You think in terms of systems and build solutions for the long term. You likely started your career as a developer or have consistently worked in roles that required strong software engineering principles.
• Domain expertise in Supply Chain, Inventory Management, or Demand Planning is a significant advantage. Experience in e-commerce is also a major plus.

Core Technical Proficiencies:

• Database Expertise (SQL): You possess expert-level SQL skills. You are highly experienced in writing clean, efficient queries to manipulate massive datasets across our primary data platforms, including our data warehouse (Redshift) and data lake (Hive).
• Data Scripting & Automation: You have high proficiency in a scripting language for complex analysis and automation. You are an expert in either Python (with its data ecosystem like pandas, NumPy) or R.
• Dashboarding & Visualization: You have deep, hands-on experience creating insightful and actionable dashboards. You are an expert in at least one of our primary BI tools — Tableau, Power BI, or Apache Superset — and are comfortable navigating the others.
• Analysis as Code (GitHub): You treat analysis as code. Proficiency with Git and GitHub is essential for versioning your queries and scripts and collaborating with the team.
• Generative AI as a Force Multiplier: You are a pragmatic user of Generative AI (e.g., Windsurf, Gemini) to accelerate your workflow—from writing code and debugging issues to managing projects and summarizing findings.

Key Competencies:

• Pragmatic Problem-Solver: You have a knack for creating simple, effective solutions to complex problems and understand when a smart heuristic is better than a perfect but slow model.
• Master Communicator: You can simplify complexity, persuade stakeholders with data-driven narratives, and create clear, concise documentation for your work.
• Sustainable Code Practices: You write clean, modular, and reusable code in both SQL and your chosen scripting language. Your work is easy for others to understand, trust, and build upon.

Recruitment Process

• Application Review - Phone Interview - Virtual Onsite Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
• Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.

https://www.coupang.jobs/en/privacy-policy/

Document Return Policy

• This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
• A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
• A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email ( recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
• In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met.

쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다.

쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다.

쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요.

직무 소개 

SCM Autonomation 조직은 쿠팡의 고객을 위해 수요 예측, 발주 알고리즘, 재고 시뮬레이션 및 협력 업체 관계 관리 시스템 개발을 담당하고 있습니다. 우리는 고객들의 수요를 예측하고 고객이 구매를 희망하는 상품의 재고를 미리 확보하여 로켓배송과 로켓프레시 비즈니스의 성장을 지원하고 있습니다.  

업무 내용

• 아이디어부터 프로덕션 수준의 인사이트까지 전체 사이클 리드: 이 역할의 핵심입니다.
  • 스마트 휴리스틱 개발: 공급망 시스템의 약점을 선제적으로 파악하고, 실용적이고 창의적인 로직을 개발합니다. 주요 초점은 예측 보정 로직(모델 실패 시 대체), 품절(OOS) 원인 분석 모델, 초과 재고 플래그 규칙입니다.
  • 빠른 POC(Proof-of-Concept) 구축: 아이디어를 신속하게 검증하기 위해 POC를 직접 개발합니다. 예: ‘공급 지연’, ‘예측 부족’ 등 품절 원인을 자동으로 분석하는 Root Cause Analysis 대시보드.
  • 프로덕션화 추진: 수요 계획 및 엔지니어링 팀과 협력하여 검증된 POC를 실제 시스템에 반영합니다. 로직이 핵심 재고 계획 시스템에 정확히 통합되도록 전문가 역할을 수행합니다.
• 재고 건강 전문가 역할: 품절률, 판매율(Sell-Through) 등 핵심 공급망 KPI 분석을 담당합니다. 단순 보고가 아니라, 그 원인을 명확히 설명합니다.
• 데이터 번역가 역할: 기술 및 비기술 파트너와 적극적으로 소통하여, 분석 결과의 ‘무엇’뿐 아니라 ‘왜 중요한지’를 명확히 전달합니다.
• 멘토링 및 팀 역량 강화: 리드로서 다른 분석가를 지도하고, 고효율·재현 가능한 분석을 위한 베스트 프랙티스를 확립합니다.

자격 요건 

• 데이터 분석, BI, 또는 관련 정량 분야에서 7년 이상 경력
• 개발 백그라운드 선호: 시스템 관점에서 사고하고 장기적 솔루션을 구축할 수 있는 능력. 개발자로 커리어를 시작했거나 소프트웨어 엔지니어링 원칙을 요구하는 역할 경험 보유.
• SCM, 재고 관리, 수요 계획 관련 도메인 전문성 우대. 이커머스 경험도 큰 장점.

핵심 기술 역량 

• SQL 전문가: 대규모 데이터셋을 효율적으로 처리하는 깔끔한 쿼리 작성 능력. Redshift, Hive 등 주요 데이터 플랫폼 경험 필수.
• 데이터 스크립팅 & 자동화: Python(pandas, NumPy) 또는 R에 대한 높은 숙련도.
• 대시보드 & 시각화: Tableau, Power BI, Apache Superset 중 하나 이상 전문가 수준.
• Analysis as Code: Git/GitHub 활용 능력 필수.
• Generative AI 활용: Windsurf, Gemini 등 생성형 AI를 활용해 코드 작성, 디버깅, 프로젝트 관리, 분석 요약 등 업무 효율 극대화.

CSQ227R25

At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Lakehouse platform. As a Delivery Solutions Architect (DSA), you will play a critical role during this journey. The DSA works across a small number of our largest or highest potential key accounts, collaborating across Databricks teams to accelerate the adoption and growth of the Databricks platform. As a DSA, you will help ensure customer success by driving focus and technical accountability to our most complex customers who need guidance to accelerate consumption on Databricks workloads that they have already selected.

This is a hybrid technical and commercial role. It is commercial in the sense that you will be required to own and drive growth in your assigned customers and use cases through leading your customers' stakeholders, owning executive relationships and creating and driving plans and strategies for Databricks colleagues to execute upon. This is in parallel to being technical, with expectations being that you become at least Level 200 across all Databricks products/workloads and that you become the Use Case-specific technical lead post Technical Win.

You will bring strong executive relationship management skills and high levels of technical credibility to effectively engage and communicate at all levels with an organization, in particular with a track record of building strong relationships with the customers' executives and C-suite, elevating the conversation, and helping them realize the value of Databricks. You will report directly to a Director, Field Engineering, as part of your Business Unit's Technical GM organization.

You will play a key role in establishing the fundamental assets and best practices within the DSA team, mentoring other DSAs and wider account team members within your region, helping them develop personally, professionally and to further their careers.

The impact you will have:

• Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers.
• Own the Post-Technical Win technical account strategy and investment plan for the majority of Databricks Use Cases within our most strategic accounts.
• Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty/ambiguity and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.
• Be the first point of contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations.
• Leverage both Shared Services of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts (Specialist Solution Architects and Product Specialists) to execute on the right tasks that are beyond your scope of activities or expertise.
• Create, own and execute a PoV as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals.
• Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs (DBR, E2 and Unity Catalog).
• Build and maintain an executive level as well as a detailed programme level success plan that covers all activities of Customer, PS, Partner, SSA, Product Specialist, SA to cover the below workstreams:
• Key use cases moving from 'win' to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of LH vision)
• Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimization
• Executive and operational governance
• Proactively provide internal and external updates - KPI reporting on the status of consumption and customer health, covering investment status, key risks, product adoption and use case progression - to your Technical GM
• Development of reusable and scalable assets and mentorship of junior team members to establish the DSA team

What we look for:

• 8+ years in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Experience understanding architecture related distributed data systems, specifically within one of the following:
• Data Engineering technologies (e.g. Spark, Hadoop, Kafka)
• Data Warehousing (e.g. SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning technologies (e.g. pandas, scikit-learn, HPO)
• Comfortable managing multiple projects at once, and engaging a virtual team of subject matter experts to address any onboarding or technical challenges outside of your remit or bandwidth.
• Influencing and leading teams - especially without having direct reporting line responsibility for individuals within account and leadership teams, both internally and externally
• Executive Stakeholder management - experience in effectively engaging and influencing a variety of audiences (technical, non technical) at all levels of an organization with particular success in building and maintaing strong CxO level relationship
• Executive escalation management - experience in resolving complex and critical escalation with senior customer and internal executives
• Strategic Management Consulting - experience of conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Building and steering to a value case - business value consulting and realization
• Quota ownership, achievement and track record of great performance against objective target
• Proficient in both Korean and English (Native level Korean and Business level English) verbally and in writing

FEQ227R161

As a Partner Solutions Architect, you will work with Databricks' Consulting and System Integrator (C&SI) partners, teammates, and with the technical and sales team members who work directly with our customers. You will develop 'technical champions' within our top C&SI Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake; and major public cloud infrastructure and services. You will use this expertise to become a trusted advisor to C&SI partners. You will report to the AVP, Professional Services of APJ.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
• Engage with the partner technical community by leading workshops, seminars, and meet-ups
• You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network
• Show expertise by producing creative technical solutions and blog post

What we look for:

• 5+ years of pre-sales or post-sales experience working with external clients or partners across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either data engineering or data science
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience developing architectures within a public cloud (AWS, Azure, or GCP)
• Coding experience in SQL, Python, Scala, or Java
• Expertise in at least one of the following:
  • Data Engineering technologies (Ex: Apache Spark™, Hadoop, Kafka)
  • Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
  • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Native-level fluency in Korean and professional working proficiency in English (both written and verbal)