쿠팡 · Retail Engineering

Staff Data Analyst (Pricing&Retail)

#쿠팡 채용#쿠팡 데이터·AI 면접#데이터·AI 면접

이 공고, 이렇게 물어볼 겁니다

Q1
데이터 품질 확보와 관련된 시스템을 구축하는 과정에서, 비즈니스 요구사항(Metric)과 기술적 제약 조건(Data Availability/Latency)이 충돌했을 때, 최종 의사결정은 어떻게 내렸으며 그 결과는 어땠습니까?
🎯 복잡한 이해관계 속에서 데이터 거버넌스 및 기술적 현실을 조율하는 능력 확인
Q2
Coupang의 핵심 성장 지표 중 하나인 특정 서비스의 사용자 이탈률(Churn Rate)을 분석하여 개선안을 도출했을 때, 당신이 제시한 분석 결과와 이를 바탕으로 Product팀이 실제로 도입한 행동 변화는 무엇이었으며, 그 효과를 수치로 설명해 주십시오.
🎯 분석 결과를 실제 비즈니스 액션 및 성과로 연결하는 능력 확인
Q3
당신이 주도한 대규모 ETL 파이프라인 중 데이터 정합성 오류가 발견되었을 때, 이를 해결하기 위해 Engineering 팀 및 현업 Stakeholder들과 어떻게 협업했으며, 일정 내에 문제를 완벽히 해결했던 구체적인 프로세스를 설명해 주십시오.
🎯 기술적 문제 해결 능력과 크로스펑셔널 협업 리더십 확인
Q4
Junior BA들을 리드하며 신규 Metric 개발 요청을 우선순위화할 때, 비즈니스 가치와 데이터 접근성(Data Availability) 사이에서 어떤 기준을 적용했으며, 가장 논란이 많았던 프로젝트의 최종 의사결정 과정은 무엇이었습니까?
🎯 우선순위 설정 능력과 팀 리딩 시의 전략적 사고 확인
Q5
최근에 새로운 분석 방법론이나 기술(예: Python/Spark 활용)을 도입하여 기존의 보고 체계를 개선한 경험이 있다면, 그 변화가 조직 내 다른 팀원들의 데이터 이해도와 의사결정 속도에 구체적으로 어떤 긍정적인 영향을 미쳤는지 숫자로 보여주십시오.
🎯 기술 혁신 역량과 조직 전체의 영향력 확인
질문만 읽으면 컨닝이에요. 소리 내어 답해보세요 — 어디서 틀어지는지 짚어드립니다.

공고 내용

Company Introduction

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 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 since our inception. We are all entrepreneurs 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.

Team Role Overview

A Principal Data Analyst, leads multiple, impactful projects related to the quality, availability, and depth of data needed by Coupang to make business decisions. This person will use their deep expertise in SQL and other languages, data ETL development, and data integrity to ensure that necessary information is available for all levels of analysis at Coupang. This person will work closely with Engineering and Product teams to not only accomplish business goals, but to come up with novel ways to capture and analyze data. Additionally, this person will contribute to analytics projects designed to help drive Coupang's growth, support specific initiatives from all areas of Coupang, and help analysts across the team and organization with their development.

What you will do

1. Develop business operations-related decision-making systems to improve the efficiency of business operations

2. Analyze domain data to provide insights and help develop key metrics

3. Explain reports, algorithm details, and results to both technical and non-technical stakeholders

4. Prioritize the metric development requests and lead the junior BAs to support key business initiatives in the company

5. Keep the developed reports and systems up-to-date, including learning and deploying new technologies, both in methodology and in technical / software

6. Document project deliverables and decisions made as well as final results

7. Work with stakeholders to identify project requirements, translate them into tasks, and lead teams to have tasks completed on time with high quality

8. Train and mentor junior team members

Basic Qualifications :

1. Minimum 5+ years experience in data, business analytics and other quantitative fields

3. Excellent skills in SQL

4. Proficient in English (nice to have as well)

5. Strong presentation and communication skills

6. Good understanding of statistical analysis and algorithm design

7. Experience in initiating and driving analytics projects and delivering actionable insights and recommendations to business

8. Experience working with stakeholders in requirement identification and final delivery for features and analytical projects

Preferred Qualifications:

1. Experience with creating Tableau (the main tool for visualization), Grafana, or similar GUI-based reports

2. Relevant working experience in retail/e-commerce business (nice to have)

3. Experience with data analytics tools such as relevant Python libraries, Spark, R as well as engineering tools such as GitHub and Airflow (very good to have – Python, Spark, R)

4. Experience with documentation and project management tools (Wiki, Jira, Gannt charts, and similar) as well as final result presentation (such as Powerpoint)

Recruitment Process

· Application Review - Phone Interview - Onsite (or 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.

· Hiring may b

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