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Coupang

Company

Senior Data Analyst (Eats Analytics)

Seoul, South Korea

Job Description

About CoupangEats ๐Ÿš€

CoupangEats ๋Š” ๋ ˆ์Šคํ† ๋ž‘๊ณผ ์นดํŽ˜๋กœ๋ถ€ํ„ฐ ์–‘์งˆ์˜ ์Œ์‹์„ ๋ฌธ ์•ž๊นŒ์ง€ ๋ฐฐ๋‹ฌํ•ด์ฃผ๋Š” ์ฟ ํŒก์˜ ์‹ ๊ทœ ์„œ๋น„์Šค์ž…๋‹ˆ๋‹ค. ์†Œ๋น„์ž์™€ ์—…์ฃผ, ๋ฐฐ๋‹ฌํŒŒํŠธ๋„ˆ๋ฅผ ์œ„ํ•œ ๋‹ค๋ฉด ํ”Œ๋žซํผ(Multi Sided Platform)์œผ๋กœ์„œ, ๋ชจ๋“  ๊ณ ๊ฐ์—๊ฒŒ ํ˜์‹ ์ ์ธ ๊ฒฝํ—˜๊ณผ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ฟ ํŒก์ด์ธ ๋Š” 2019 ๋…„ ๋Ÿฐ์นญ๋œ ์ดํ›„ ์ง€๋‚œ 2๋…„๊ฐ„ ๋ฐฐ๋‹ฌ์‹œ์žฅ์˜ ์น˜์—ดํ•œ ๊ฒฝ์Ÿ ์†์— ๋ˆˆ๋ถ€์‹  ์„ฑ์žฅ์„ ์ด๋ค„๋ƒˆ์Šต๋‹ˆ๋‹ค

์ฟ ํŒก์ด์ธ  ํŒ€์€ ๊ณ ๊ฐ์šฉ ์•ฑ, ์ƒ์ ์šฉ ์•ฑ, ๋ฐฐ๋‹ฌ์›์šฉ ์•ฑ, ์ƒ์ ์šฉ ์›น์‚ฌ์ดํŠธ, ๋ฐฑ์˜คํ”ผ์Šค, ์šด์˜ ์„ผํ„ฐ๋ฅผ ๊ตฌ์ถ•ํ•˜์—ฌ ์„œ๋น„์Šค ์ด์šฉ์ž ๋ชจ๋‘์—๊ฒŒ ๋งค๋„๋Ÿฌ์šด ๋ฐฐ์†ก ๊ฒฝํ—˜์„ ์ œ๊ณตํ•˜๊ธฐ ์œ„ํ•ด ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ฟ ํŒก์ด๋ผ๋Š” ํฐ ์กฐ์ง์˜ ํ˜์‹ ์ ์ธ ๊ธฐ์ˆ ๊ณผ ์šด์˜ ๊ฒฝํ—˜์„ ๋ฐ”ํƒ•์œผ๋กœ ์ฟ ํŒก์ด์ธ ๋งŒ์˜ ๋น ๋ฅด๊ณ  ์ฃผ๋„์ ์ธ ์Šคํƒ€ํŠธ์—… ๋ฌธํ™”๋ฅผ ๊ตฌ์ถ•ํ–ˆ์Šต๋‹ˆ๋‹ค.

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About Eats Analytics Team ๐Ÿš€

Eats Analytics ํŒ€์˜ ๋น„์ „์€ ์ฟ ํŒก์ด์ธ  ๋‚ด์— ์ด๋ฃจ์–ด์ง€๋Š” ๋ชจ๋“  ๋น„์ฆˆ๋‹ˆ์Šค ๊ฒฐ์ •๋“ค์ด Data-driven ๋ฐฉ๋ฒ•๋ก ์— ์ž…๊ฐํ•˜์—ฌ ์ง„ํ–‰๋˜๋„๋ก ํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ด๋Š” ์ฟ ํŒก์ด์ธ ์˜ Data ํŒ€์ด ์ธ์‚ฌ์ดํŠธ๋ฅผ ๋„์ถœํ•ด ๋‚ด๊ณ , ๋น„์ฆˆ๋‹ˆ์Šค ๊ด€๋ จ ์ •๋ณด๊ฐ€ ์ข…ํ•ฉ์ ์ด๊ณ  ์ฒด๊ณ„์ ์œผ๋กœ ๊ณต์œ ๋˜๋Š” ๋ฆฌํฌํŒ… ์‹œ์Šคํ…œ ๊ทธ๋ฆฌ๊ณ  ์•ˆ์ •์ ์ธ ๋ฐ์ดํ„ฐ ์ธํ”„๋ผ์ŠคํŠธ๋Ÿญ์ณ๋ฅผ ๊ตฌํ˜„ํ•จ์œผ๋กœ์„œ ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค.

Eats Analytics ํŒ€์˜ ๋ฐ์ดํ„ฐ ๋ถ„์„๊ฐ€๋Š” A/B ํ…Œ์ŠคํŠธ, ๋ฐ์ดํ„ฐ ํŒŒ์ดํ”„๋ผ์ธ ๊ตฌ์ถ•, ์šด์˜ ๋ถ„์„์„ ํ†ตํ•ด ๋น„์ฆˆ๋‹ˆ์Šค ์˜์‚ฌ๊ฒฐ์ •์„ ์ง€์›ํ•˜๊ณ  ์šด์˜ ํšจ์œจ์„ฑ์„ ๊ทน๋Œ€ํ™”ํ•ฉ๋‹ˆ๋‹ค. ๋‹จ์ˆœ ๋ฆฌํฌํŒ…์„ ๋„˜์–ด, ๊ณ ๊ฐ ํ–‰๋™๊ณผ ๋น„์ฆˆ๋‹ˆ์Šค ๋™ํ–ฅ์„ ๋ถ„์„ํ•˜์—ฌ ์ „๋žต์  ์˜์‚ฌ๊ฒฐ์ •์„ ์ฃผ๋„ํ•˜๋Š” ์—ญํ• ์„ ์ง„ํ–‰ํ•ฉ๋‹ˆ๋‹ค.

์ฟ ํŒก์˜ Big data ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ด ๋น„์ „์„ ํ•จ๊ป˜ ์ด๋ค„๋‚˜๊ฐ€์‹ค ์—ด์ •์ ์ธ ๋ฐ์ดํ„ฐ ๋ถ„์„๊ฐ€ ๋ถ„๋“ค์„ ๋ชจ์‹ญ๋‹ˆ๋‹ค!

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Responsibilities ๐Ÿš€

* ๋„๋ฉ”์ธ ์ง€์‹์„ ํ†ตํ•ด Coupang Eats ์ „์ฒด์กฐ์ง(๋ฐฐ๋‹ฌ ์šด์˜๋ถ€ํ„ฐ ํŒ๋งค์ž ์šด์˜๊นŒ์ง€)์— ๊ฑธ์ณ ๋‹ค์–‘ํ•œ ํ”„๋กœ์ ํŠธ ์ง„ํ–‰

  • A/B ํ…Œ์ŠคํŠธ ์„ค๊ณ„ยท์‹คํ–‰ยท๋ถ„์„: ๋งค๋‹ฌ ์ˆ˜๋ฐฑ ๊ฐœ ํ…Œ์ŠคํŠธ ์ง„ํ–‰, ๊ณ ๊ฐ/๋น„์ฆˆ๋‹ˆ์Šค ์˜ํ–ฅ ํ‰๊ฐ€.
  • ๋ฐ์ดํ„ฐ ํŒŒ์ดํ”„๋ผ์ธ ๊ตฌ์ถ• ๋ฐ ๋ฐ์ดํ„ฐ ๋ถ„์„ํˆด ๊ฐœ๋ฐœ: Airflow ๊ธฐ๋ฐ˜ ํŒŒ์ดํ”„๋ผ์ธ ์„ค๊ณ„ ๋ฐ ํŠธ๋ž˜ํ”ฝยท๋ฆฌํ…์…˜ ๋ถ„์„.
  • ์šด์˜ ์˜์‚ฌ๊ฒฐ์ • ์ง€์›: ์˜ˆ) ํ•„์š”ํ•œ ๋ฐฐ๋‹ฌ์› ์ˆ˜ ์‚ฐ์ถœ, ์ง€์—ญ๋ณ„ ์ˆ˜์š” ์˜ˆ์ธก ๋ฐ ์„ ๋„ ํ”„๋กœ์ ํŠธ ํฌํ•จ
  • ํ•ต์‹ฌ KPI: A/B ํ…Œ์ŠคํŠธ ์„ฑ๊ณต๋ฅ  ๋ฐ ์ธ์‚ฌ์ดํŠธ ๋„์ถœ, ๊ณ ๊ฐ ๋ฆฌํ…์…˜ ๊ฐœ์„  ์šด์˜, ํšจ์œจ์„ฑ ์ง€ํ‘œ(๋ฐฐ๋‹ฌ ์‹œ๊ฐ„, ๋น„์šฉ ์ ˆ๊ฐ ๋“ฑ)

* Coupang Eats ์˜ ์ „๋ฐ˜์ ์ธ ์„ฑ์žฅ๊ณผ ๋น„์ง€๋‹ˆ์Šคํ˜„ํ™ฉ์— ๋Œ€ํ•œ ์˜ค๋„ˆ์‹ญ์„ ๊ฐ–๊ณ , ์ดํ•ด๊ด€๊ณ„์ž ๋ฐ ๋น„์ฆˆ๋‹ˆ์Šค ๋ฆฌ๋”์™€ ํ˜‘๋ ฅํ•˜์—ฌ ์ƒˆ๋กœ์šด ์‚ฌ์—…๊ธฐํšŒ์™€ ๊ฐœ์„ ์˜์—ญ์„ ํŒŒ์•…

* ๋น„์ฆˆ๋‹ˆ์Šค ์š”๊ตฌ์™€ ์šฐ์„ ์ˆœ์œ„์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์šด์˜ ๋ฐ ํŒ๋งค์ž ๋ฐ์ดํ„ฐ๋ฅผ ์‹ฌ์ธต์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ  ์‚ฌ์—…ํ™•์žฅ ๋ฐฉ๋ฒ•์„ ํŒŒ์•…

* ๋‹จ์ˆœ๋ณด๊ณ  ๋ฐ ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ์—…๋ฌด๋ถ€ํ„ฐ, ๊ณ ๊ฐ์˜ ํ–‰๋™ ๋ฐ ๋น„์ง€๋‹ˆ์Šค ๋™ํ–ฅ์„ ํŒŒ์•…ํ•˜๊ณ  ๋น„์ง€๋‹ˆ์Šค์  ์˜์‚ฌ๊ฒฐ์ •์„ ๋„์šธ ์ˆ˜ ์žˆ๋Š” ๋ณต์žกํ•œ ๋ชจ๋ธ์ƒ์„ฑ ์—…๋ฌด๊นŒ์ง€ ๋‹ค์–‘ํ•œ ํ”„๋กœ์ ํŠธ์ง„ํ–‰

* ๊ธฐ์ˆ ์ ์ธ ๋ถ€๋ถ„์„ ๋ชจ๋ฅด๋Š” ์ดํ•ด๊ด€๊ณ„์ž์—๊ฒŒ ๋ถ„์„๊ฒฐ๊ณผ๋ฅผ ํšจ๊ณผ์ ์ด๊ณ  ๊ฐ„๊ฒฐํ•˜๊ฒŒ ๊ณต์œ ํ•  ์ˆ˜ ์žˆ๋Š” ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜

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Basic Qualifications ๐Ÿš€

  • Business Analyst, Data Analyst, FP&A, Data Scientist ๋“ฑ ๋ฐ์ดํ„ฐ ๋ถ„์„ ๊ธฐ์ˆ ์„ ํ•„์š”๋กœํ•˜๋Š” ์—…๋ฌด ์•ฝ 5๋…„ ์ด์ƒ์˜ ๊ฒฝํ—˜
  • Excel, Tableau, Power BI ์™€ ๊ฐ™์€ ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ํˆด 5๋…„ ์ด์ƒ ์‚ฌ์šฉ ๊ฒฝํ—˜
  • ๋Œ€๊ทœ๋ชจ ์‚ฌ์—…๋ถ€์˜ ์„ฑ๊ณผ ๋ฐ ๋ถ„์„ ๋‹ด๋‹น ๊ฒฝํ—˜
  • SQL/HQL ์ „๋ฌธ์ง€์‹๊ณผ ETL ๋ฐ dimensional modeling ๊ฒฝํ—˜
  • ๋ถ„์„์ ์ด๊ณ  ๋””ํ…Œ์ผ์— ๊ฐ•ํ•˜๋ฉฐ, ๋น„์ฆˆ๋‹ˆ์Šค ๊ฐ๊ฐ์ด ์žˆ์œผ์‹  ๋ถ„
  • ์—…๋ฌด์˜ ์šฐ์„  ์ˆœ์œ„๋ฅผ ํšจ์œจ์ ์œผ๋กœ ์ •ํ•˜๊ณ , ๋น ๋ฅด๊ณ  ์—ญ๋™์ ์ธ ํ™˜๊ฒฝ์—์„œ ํšจ๊ณผ์ ์ธ ๊ฒฐ๊ณผ๋ฅผ ๋‹ฌ์„ฑํ•  ์ˆ˜ ์žˆ๋Š” ์—ญ๋Ÿ‰ (๋ฉ€ํ‹ฐํ…Œ์Šคํ‚น ์—ญ๋Ÿ‰)

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Preferred Experience ๐Ÿš€

  • ์ •๋Ÿ‰๋ถ„์•ผ์˜ ํ•™์‚ฌ (STEM, Finance, Economics, Statistics)
  • ๊ณตํ•™ ๋ฐ ๋น„์ง€๋‹ˆ์Šค ํ•™์œ„ (์„/๋ฐ•์‚ฌ or MBA)
  • Python ์„ ์‚ฌ์šฉํ•œ ์‹ค๋ฌด ๊ฒฝํ—˜์ž
  • ์ด์ปค๋จธ์Šค, ์Œ์‹๋ฐฐ๋‹ฌ์—…๊ณ„, ๋˜๋Š” IT ์‚ฐ์—… ๊ฒฝํ—˜์ž
  • ๋ฐ์ดํ„ฐ ๋ถ„์„ ๊ด€๋ จ ํŒ€์˜ ํŒ€์žฅ ๊ฒฝํ—˜

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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.

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About Coupang Eats ๐Ÿš€

Coupang Eats is Coupangโ€™s innovative food delivery service, delivering high-quality meals from restaurants and cafรฉs straight to customersโ€™ doors. As a multi-sided platform serving consumers, merchants, and delivery partners, we aim to provide exceptional experiences for all stakeholders. Since its launch in 2019, Coupang Eats has achieved remarkable growth in the highly competitive food delivery market.

Our team has developed customer-facing apps, merchant apps, delivery partner apps, merchant web portals, back-office systems, and operational centers to ensure a seamless experience for every user. Leveraging Coupangโ€™s advanced technology and operational expertise, we have built a fast-paced, entrepreneurial culture unique to Coupang Eats.

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About Eats Analytics Team ๐Ÿš€

The vision of the Eats Analytics team is to ensure that every business decision within Coupang Eats is data-driven. We achieve this by generating actionable insights, building comprehensive reporting systems, and maintaining a robust data infrastructure.

As a Data Analyst on our team, you will play a critical role in enabling data-driven decision-making and improving operational efficiency through A/B testing, data pipeline development, and operational analysis. Beyond reporting, you will analyze customer behavior and business trends to influence strategic decisions. Join us in leveraging Coupangโ€™s vast data resources to make a real impact!

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Responsibilities ๐Ÿš€

  • Drive data-informed decision-making across Coupang Eats by leading diverse projects spanning delivery operations, merchant management, and growth initiatives.
  • Design, execute, and analyze A/B tests: Conduct hundreds of experiments monthly and evaluate customer and business impact.
  • Build and optimize data pipelines and analytics tools: Develop Airflow-based pipelines and perform traffic, retention, and operational analyses.
  • Support operational decision-making: Examples include calculating required delivery partner capacity and forecasting regional demand.
  • Own key business metrics and deliver insights that improveย customer retention,ย operational efficiency, andย business performance.
  • Collaborate with stakeholders and business leaders to identify new opportunities and areas for improvement.
  • Conduct deep-dive analyses on operational and merchant data to uncover growth strategies.
  • Deliver projects ranging fromย data visualization and reportingย toย complex modelingย that informs strategic decisions.
  • Communicate analytical findings clearly and effectively to non-technical stakeholders.

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Key Performance Indicators

  • A/B test success rate and actionable insights delivered
  • Customer retention improvement
  • Operational efficiency metrics (e.g., delivery time, cost optimization)

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Basic Qualifications ๐Ÿš€

  • 5+ years of relevant work experience in a role requiring application of analytic skills to integrate in a business analyst, data analyst, FP&A or data science role 8+ years working with Excel as well as data visualization tools like Tableau or Power BI
  • Experience owning the analytics and performance of a large business unit
  • Expert SQL/HQL knowledge, ETL and dimensional modelling experience
  • Highly analytical, detail oriented and strong business sense
  • Can-do attitude
  • Comfortable with using English as the daily working language
  • Ability to meet tight deadlines, prioritize workload and achieve effective results in fast-paced and dynamic environment; effective multi-tasking skills are vital
  • Bachelorโ€™s degree in quantitative field (STEM, Finance, Economics, Statistics)

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Preferred Experience ๐Ÿš€

  • Advanced technical or business degree (MS or MBA)
  • Business-level experience with Python as a plus
  • Previous experience in e-commerce, food delivery or other internet-based industries
  • Analytical team management experience is a plus

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Recruitment Process and Others

Recruitment Process

  • Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview โ€“ 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.

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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 veteranโ€™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.

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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/

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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 โ€œCompanyโ€), 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 โ€œRequest for Return of Hiring Documentsโ€ [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 applicantโ€™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 applicantโ€™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.

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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.

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About the job

Posted on

Nov 25, 2025

Apply before

Dec 25, 2025

Job typeFull-time
CategoryData Analyst

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