Sr~Staff Data Analyst (Eats Analytics)

반드시 첨부된 ‘사내공모지원서 양식’을 작성 후 제출하여 주시기 바랍니다.

Please complete the attached Internal Transfer Request Form and submit.

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Please make sure to apply with your Coupang e-mail address.

Eats Analytics 팀 소개 🚀

Eats Analytics 팀의 비전은 데이터, 분석, 그리고 적용형 AI를 통해 복잡한 비즈니스 문제를 해결함으로써, Coupang Eats의 모든 의사결정이 데이터에 기반하고 실질적인 임팩트를 창출하도록 만드는 것입니다.

우리 팀은 단순한 리포팅이나 운영 지원을 넘어섭니다. 비즈니스, 프로덕트, 운영 리더들과 긴밀하게 협업하여 문제를 정의하고, 분석 및 데이터 모델을 구축하며, 인사이트를 대규모로 운영에 적용합니다.

Coupang Eats의 데이터 분석은 비즈니스 전략, 실험(Experimentation), 예측(Forecasting), 그리고 AI 기반 의사결정 전반에 걸쳐 있으며, 팀원들은 Data Science, Machine Learning, 혹은 고급 비즈니스 애널리틱스 역할로 성장할 수 있는 기회를 얻게 됩니다.

Data Analyst로서 당신은 문제 정의부터 모델 기반 인사이트 도출, 실제 운영 실행까지 엔드투엔드로 관여하게 되며, 대규모 데이터, 실험 플랫폼, AI 기반 비즈니스 활용 사례를 폭넓게 경험하게 됩니다.

주요 업무 🚀

• 배달 운영, 머천트 생태계, 고객 성장, 마켓플레이스 구조 전반에 걸쳐 데이터·분석·적용형 AI를 활용하여 다양한 비즈니스 문제 해결

• 모호한 비즈니스 질문을 분석 프레임워크와 데이터 모델로 구조화하기 위해 비즈니스 및 프로덕트 리더와 협업

• 대규모 A/B 테스트와 실험을 설계, 실행, 분석하며 단기 성과와 장기 비즈니스 영향 평가

• 운영 및 전략적 의사결정을 지원하는 분석 데이터셋, 파이프라인, 모델(예: 예측, 최적화, 세그멘테이션) 개발 및 유지

• 통계 분석, 모델링, 실험을 통해 배달 시간, 비용 효율, 수요–공급 균형, 고객 유지율 등 핵심 비즈니스 지표 최적화

• 모델과 인사이트를 일상적인 의사결정 프로세스에 적용하여 운영 효율성을 높이고, 분석 방법론을 지속적으로 개선

• 단순한 과거 리포팅이 아닌 미래지향적 인사이트 제공과 핵심 지표 오너십 확보

• 고객, 머천트, 운영 데이터를 심층 분석하여 확장 가능한 성장 기회 발굴

• 기술적 배경이 없는 이해관계자에게도 명확하게 인사이트와 제안을 전달하며, 다양한 조직 레벨의 의사결정에 영향력 행사

핵심 성과 지표 (KPI)

• 분석, 실험, 모델을 통해 창출된 실질적인 비즈니스 임팩트

• 고객, 머천트, 운영 관련 KPI 개선 (유지율, 효율성, 유닛 이코노믹스 등)

• 일상 운영에서 분석 모델과 인사이트의 활용도 및 효과성

자격 요건 🚀

• 비즈니스 문제 해결을 위해 데이터 분석, 애널리틱스, 또는 데이터 사이언스를 적용한 5년 이상의 경력

• SQL에 대한 강한 숙련도와 ETL, 데이터 모델링, 대규모 데이터셋 경험

• 특정 비즈니스 도메인, 프로덕트 영역, 또는 운영 기능에 대한 분석 오너십 경험

• 데이터 인사이트를 비즈니스 성과로 연결할 수 있는 뛰어난 분석적 사고력

• 빠르게 변화하고 불확실한 환경에서 다양한 조직과 협업한 경험

• 업무 언어로서 영어 사용에 대한 편안함

우대 사항 🚀

• 정량적 전공(STEM, 금융, 경제학, 통계 등) 학사 학위

• 데이터 분석, 모델링, 실험을 위한 Python 활용 경험

• 예측, 최적화, 또는 적용형 머신러닝 모델 경험

• 이커머스, 푸드 딜리버리, 물류, 마켓플레이스 플랫폼 경험

• Data Science, 고급 애널리틱스, AI 기반 비즈니스 역할로의 성장에 대한 관심

• 석사(MS) 또는 MBA 학위 보유자 우대

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

About Eats Analytics Team 🚀

The vision of the Eats Analytics Team is to solve complex business problems through data, analytics, and applied AI, ensuring that every decision at Coupang Eats is both data-informed and impact-driven.

Our team goes beyond traditional reporting or operational support. We work closely with business, product, and operations leaders to define problems, build analytical and data models, and operationalize insights at scale. Analytics at Coupang Eats spans business strategy, experimentation, forecasting, and AI-driven decision making, providing team members with opportunities to grow toward Data Science, Machine Learning, or advanced Business Analytics roles.

As a Data Analyst, you will work end-to-end—from problem definition to model-driven insights to real-world operational execution—while gaining exposure to large-scale data, experimentation platforms, and AI-enabled business use cases.

Responsibilities 🚀

• Solve diverse business problems using data, analytics, and applied AI across delivery operations, merchant ecosystem, customer growth, and marketplace dynamics

• Partner with business and product leaders to translate ambiguous business questions into analytical frameworks and data models

• Design, execute, and analyze large-scale A/B tests and experiments, evaluating short-term impact and long-term business implications

• Develop and maintain analytical datasets, pipelines, and models (e.g., forecasting, optimization, segmentation) that support both operational and strategic decision-making

• Apply statistical analysis, modeling, and experimentation to optimize core business metrics such as delivery time, cost efficiency, demand-supply balance, and customer retention

• Enable operational excellence by operationalizing models and insights into daily decision workflows, while continuously improving methodologies

• Own key metrics and provide forward-looking insights rather than purely retrospective reporting

• Conduct deep-dive analyses on customer, merchant, and operational data to identify scalable growth opportunities

• Communicate findings and recommendations clearly to non-technical stakeholders, influencing decisions at multiple organizational levels

Key Performance Indicators

• Business impact driven by analytics, experiments, and models

• Improvement in customer, merchant, and operational KPIs (retention, efficiency, unit economics)

• Adoption and effectiveness of analytical models and insights in daily operations

Basic Qualifications 🚀

• 5+ years of experience applying analytics, data analysis, or data science to solve business problems

• Strong SQL skills and experience with ETL, data modeling, and large-scale datasets

• Experience owning analytics for a business domain, product area, or operational function

• Strong analytical thinking with the ability to connect data insights to business outcomes

• Experience working in fast-paced, ambiguous environments with cross-functional stakeholders

• Comfortable using English as a working language

Preferred Experience 🚀

• Bachelor’s degree in a quantitative field (STEM, Finance, Economics, Statistics)

• Experience with Python for data analysis, modeling, or experimentation

• Exposure to forecasting, optimization, or applied machine learning models

• Background in e-commerce, food delivery, logistics, or marketplace platforms

• Interest in growing toward Data Science, Advanced Analytics, or AI-driven business roles

• Advanced degree (MS or MBA) is a plus

Recruitment Process and Others

Recruitment Process

• Application Review - 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.

• Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.

• This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.

Privacy Notice

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

https://privacy.coupang.com/en/land/jobs/

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 It by email ([email protected]). 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 his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.

• The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Equal Opportunities for All

• Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.