Sr~Staff Data Analyst (Coupang Eats)

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.

• 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

• 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

• 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

• 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

• 서류전형 - 1차면접 - 2차면접 – 최종 합격
• 전형 절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.
• 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다.

• 본 공고는 모집 완료 시 조기 마감될 수 있습니다.
• 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
• 보훈대상자 및 장애인 여부는 채용 과정에서 어떠한 불이익도 미치지 않습니다.
• 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다, Missing: 고용형태는 정규직으로 수습기간 12 주를 포함합니다. 단, 업무상 필요한 경우에는 상기 수습기간을 적용하지

않거나 단축 또는 연장할 수 있습니다

• 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다.
• https://www.coupang.jobs/kr/privacy-policy

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

globally diverse 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.

• 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

• 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

• 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

• 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

• Application Review - SQL Live Coding 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.

• 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.

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

below.

• 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 (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 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.

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

globally diverse team.