Coupang

Business Data Analyst (CMG Biz Analytics)

Seoul, South Korea
R Python Spark SQL
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Description

About Coupang ๐Ÿš€ 

์ฟ ํŒก์€ ๊ณ ๊ฐ์ด ์ฟ ํŒก ์•ฑ์„ ์—ด์–ด๋ณด๋Š” ์ˆœ๊ฐ„๋ถ€ํ„ฐ ์ƒํ’ˆ์„ ๋ฌธ ์•ž์œผ๋กœ ๋ฐฐ์†ก ๋ฐ›๋Š” ์ˆœ๊ฐ„๊นŒ์ง€, ๊ณ ๊ฐ ํ•œ ๋ถ„ ํ•œ ๋ถ„์—๊ฒŒ ๊ฐ๋™์„ ์ค„ ์ˆ˜ ์žˆ๋„๋ก ์‡ผํ•‘์˜ ๊ฒฝํ—˜์„ ์ƒˆ๋กญ๊ฒŒ ์ฐฝ์กฐํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋›ฐ์–ด๋‚œ ์—”๋“œํˆฌ์—”๋“œ ์ด์ปค๋จธ์Šค์™€ ๋ฌผ๋ฅ˜ ๋„คํŠธ์›Œํฌ, ๊ด‘์ ์œผ๋กœ ๊ณ ๊ฐ์—๊ฒŒ ์ง‘์ค‘ํ•˜๋Š” ๋ฌธํ™”๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ฟ ํŒก์€ ์†๋„, ์…€๋ ‰์…˜, ๊ฐ€๊ฒฉ์— ์žˆ์–ด ํƒ€ํ˜‘ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ํ˜„์žฌ ์ฟ ํŒก์€ ์‹ ์„  ์‹ํ’ˆ์„ ํฌํ•จํ•œ ์ˆ˜๋ฐฑ๋งŒ ์ข…๋ฅ˜์˜ ์ƒํ’ˆ์„ ์—„์ฒญ๋‚˜๊ฒŒ ๋น ๋ฅธ ์†๋„๋กœ ์—ฐ์ค‘๋ฌดํœด ๋ช‡ ์‹œ๊ฐ„ ์ด๋‚ด์— ์ „๊ตญ ๋ฐฐ์†กํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 

์ฟ ํŒก์€ ์„ธ๊ณ„์—์„œ ๊ฐ€์žฅ ํฌ๊ณ  ๋น ๋ฅด๊ฒŒ ์„ฑ์žฅํ•˜๋Š” ์‹œ์žฅ ์ค‘ ํ•˜๋‚˜์ธ ํ•œ๊ตญ์˜ ์ˆ˜๋ฐฑ๋งŒ ์†Œ๋น„์ž๋“ค์„ ์œ„ํ•ด ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” ๊ณ ๊ฐ, ์ง์›, ํŒŒํŠธ๋„ˆ๋“ค์˜ ์ผ์ƒ์„ ์–ด๋–ป๊ฒŒ ํ˜์‹ ํ•  ์ˆ˜ ์žˆ์„์ง€ ๋งค ์ˆœ๊ฐ„ ๊ณ ๋ฏผํ•ฉ๋‹ˆ๋‹ค. ์•„์ง ์•„๋ฌด๋„ ํ’€์ง€ ๋ชปํ•œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•จ์œผ๋กœ์จ ์‚ฌ๋žŒ๋“ค์ด โ€œ์ฟ ํŒก ์—†์ด ์–ด๋–ป๊ฒŒ ์‚ด์•˜์„๊นŒ?โ€๋ผ๊ณ  ๋ฌป๋Š” ์„ธ์ƒ์„ ๋งŒ๋“ค๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. ์ฟ ํŒก์€ ์„œ์šธ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋ฒ ์ด์ง•, LA, ์‹œ์• ํ‹€, ์ƒํ•˜์ด์™€ ์‹ค๋ฆฌ์ฝ˜๋ฐธ๋ฆฌ ๋“ฑ์— ์˜คํ”ผ์Šค๋ฅผ ๋‘๊ณ  ์žˆ๋Š” ๊ธ€๋กœ๋ฒŒ ๊ธฐ์—…์ž…๋‹ˆ๋‹ค. 

 

About the Team ๐Ÿš€ 

  • ์ฟ ํŒก ๊ด‘๊ณ ๊ทธ๋ฃน(Coupang Ads)์˜ ๊ด‘๊ณ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋งค์ถœ ์ฆ๋Œ€๋ฅผ ์œ„ํ•œ ๋ฐ์ดํ„ฐ ๋ถ„์„ ๋ฐ Business Insight ์ œ๊ณต
  • ๋‹ค์–‘ํ•œ ๋ถ„์„์œผ๋กœ๋ถ€ํ„ฐ ์ธ์‚ฌ์ดํŠธ ๋„์ถœํ•˜์—ฌ, ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์˜์‚ฌ๊ฒฐ์ • ํ™˜๊ฒฝ์„ ๊ตฌ์ถ•ํ•˜๊ณ  Sales ํŒ€์˜ ๋ณ‘๋ชฉํ˜„์ƒ์„ ํ•ด๊ฒฐ
  • ์ •ํ˜•ํ™”๋œ ๋ถ„์„ํ”„๋ ˆ์ž„ ์ž‘์„ฑ, ๋‹ค์–‘ํ•œ ๋ถ„์„ ์ˆ˜ํ–‰ ๋ฐ ๋ฆฌํฌํŠธ์™€ ๋Œ€์‹œ๋ณด๋“œ ์ž๋™ํ™” ์ง„ํ–‰

 

Responsibilities ๐Ÿš€ 

  • ๊ด‘๊ณ  ๋ชฉํ‘œ๋‹ฌ์„ฑ์— ํ•„์š”ํ•œ ์‚ฌ์—…์ ์ธ ๋ฐ์ดํ„ฐ ๋ถ„์„ ์—…๋ฌด๋ฅผ ์ˆ˜ํ–‰ํ•˜๊ณ  ์˜๋ฏธ์žˆ๋Š” ์ธ์‚ฌ์ดํŠธ๋ฅผ ๋„์ถœํ•˜์—ฌ ์‚ฌ์—… ๋ฐฉํ–ฅ์„ฑ ์ œ์‹œ
  • ์—ฌ๋Ÿฌ ๋ถ„์„๊ธฐ๋ฒ•์„ ํ†ตํ•ด ๋น„์ง€๋‹ˆ์Šค ์ด์Šˆ๋ฅผ ํŒŒ์•…, ์›์ธ์„ ๋ฐ์ดํ„ฐ์— ๊ธฐ๋ฐ˜ํ•˜์—ฌ ์ฐพ๊ณ  ์ด๋ฅผ ํ†ตํ•œ ์•ก์…˜ ํ”Œ๋žœ ์ œ์•ˆ     
  • ๊ฐ€์„ค ์ˆ˜๋ฆฝ ๋ฐ ๊ฒ€์ฆ์„ ํ†ตํ•ด ์ „์ฒด์ ์ธ ๋ฐ์ดํ„ฐ ๋ถ„์„์„ ๋ฆฌ๋“œํ•˜์—ฌ, ๋ฆฌ๋”์‰ฝ ๋ฐ ์„ธ์ผ์ฆˆ์™€์˜ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜์„ ํ†ตํ•ด ์˜์—…์˜ ๋ณ‘๋ชฉํ˜„์ƒ ํ•ด๊ฒฐ ๋ฐ ๊ฐœ์„  ๋ฐฉํ–ฅ ์ œ์‹œ
  • ๋ฐ์ดํ„ฐ ์ถ”์ถœ, ๋ถ„์„ ๋Œ€์‹œ๋ณด๋“œ ๋ฐ ๋ฆฌํฌํŠธ ์ž‘์„ฑ๊ณผ ์œ ์ง€๊ด€๋ฆฌ

 

Basic Qualifications ๐Ÿš€  

  • ํ•™์‚ฌ ์ด์ƒ์˜ ํ•™์œ„๋ฅผ ๋ณด์œ ํ•˜๊ณ  ์ˆ˜ํ•™, ํ†ต๊ณ„ ๋“ฑ ๊ด€๋ จ ์ „๊ณต ์ด์ˆ˜
  • 4๋…„ ์ด์ƒ์˜ ๋ฐ์ดํ„ฐ ๋ถ„์„ ๋ฐ ์‹ค๋ฌด ๊ฒฝ๋ ฅ ๋ณด์œ 
  • SQL + (R ํ˜น์€ Python)์„ ํ™œ์šฉํ•˜์—ฌ ๋ฐ์ดํ„ฐ ๊ฐ€๊ณต/์ถ”์ถœ/๋ถ„์„/๋ฆฌํฌํŒ…์— ๋Šฅ์ˆ™ํ•˜์‹  ๋ถ„
  • ๋‹ค์–‘ํ•œ ๋ถ„์„๊ธฐ๋ฒ•์„ ๊ฐ€์ง€๊ณ  ๊ฐ€์„ค ์ˆ˜๋ฆฝ ๋ฐ ๊ฒ€์ฆํ•˜๊ณ , ๊ทธ ๊ฒฐ๊ณผ๋ฅผ ๊ทผ๊ฑฐ๋กœ ๋…ผ๋ฆฌ์  ์ถ”๋ก  ๋ฐ ์ธ์‚ฌ์ดํŠธ ๋„์ถœํ•˜์—ฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•ด๋ณธ ๊ฒฝํ—˜์ด ์žˆ์œผ์‹  ๋ถ„
  • ์—ฌ๋Ÿฌ ์œ ๊ด€๋ถ€์„œ์™€ ํ˜‘์—…ํ•˜์—ฌ ๋ณธ์ธ์˜ ๋ถ„์„๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜์˜ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜ ๋ฐ ์ œ์•ˆ ๋“ฑ ์•ก์…˜๊นŒ์ง€ ํ”„๋กœ์ ํŠธ๋ฅผ ์ฃผ๋„์ ์œผ๋กœ ์ด๋Œ์–ด๋ณธ ๊ฒฝํ—˜์ด ์žˆ์œผ์‹  ๋ถ„
  • ๋น ๋ฅด๊ฒŒ ๋ณ€ํ™”ํ•˜๋Š” ์—…๋ฌด ํ™˜๊ฒฝ์—์„œ ์šฐ์„ ์ˆœ์œ„๋ฅผ ์ง€์ •ํ•˜๊ณ , ํšจ๊ณผ์ ์ธ ๊ฒฐ๊ณผ๋ฅผ ์ž‘์„ฑํ•˜์—ฌ ๋Œ€์‘์ด ๊ฐ€๋Šฅํ•˜์‹  ๋ถ„ (ํšจ๊ณผ์ ์ธ ๋ฉ€ํ‹ฐํƒœ์Šคํ‚น ๋Šฅ๋ ฅ์€ ๋งค์šฐ ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค)

  

Preferred Experience ๐Ÿš€ 

  • Workflow/Task scheduler (e.g. airflow), Big data query engines (e.g. Hive, Presto, Spark), data pipelines (ETL) ๋“ฑ ํ™œ์šฉ ๊ฒฝํ—˜์ด ์žˆ์œผ์‹  ๋ถ„
  • ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ํˆด(e.g. Tableau, Power-BI) ํ™œ์šฉ ๊ฒฝํ—˜์ด ์žˆ์œผ์‹  ๋ถ„
  • ์˜์–ด๊ฐ€ ๊ฐ€๋Šฅํ•˜์‹  ๋ถ„ (์šฐ๋Œ€ ์‚ฌํ•ญ)

 

์ „ํ˜•์ ˆ์ฐจ ๋ฐ ์•ˆ๋‚ด์‚ฌํ•ญ ๐Ÿš€ 

  • ์ „ํ˜•โ€ฏ์ ˆ์ฐจ โ€ฏ
    • ์„œ๋ฅ˜์ „ํ˜• - Home Test - ํ™”์ƒ๋ฉด์ ‘ (1.2์ฐจ) - ์ฒ˜์šฐํ˜‘์˜ - ์ตœ์ข…ํ•ฉ๊ฒฉ
    • ์ „ํ˜•โ€ฏ์ ˆ์ฐจ๋Š”โ€ฏ์ง๋ฌด ๋ณ„๋กœโ€ฏ๋‹ค๋ฅด๊ฒŒ ์šด์˜๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ผ์ • ๋ฐ ์ƒํ™ฉ์— ๋”ฐ๋ผ ๋ณ€๋™๋  ์ˆ˜โ€ฏ์žˆ์Šต๋‹ˆ๋‹ค.โ€ฏ
    • ์ „ํ˜•โ€ฏ์ผ์ • ๋ฐ ๊ฒฐ๊ณผ๋Š” ์ง€์›์„œ์— ๋“ฑ๋กํ•˜์‹  ์ด๋ฉ”์ผ๋กœ ๊ฐœ๋ณ„ ์•ˆ๋‚ด๋“œ๋ฆฝ๋‹ˆ๋‹ค.โ€ฏ 
  • ์ฐธ๊ณ โ€ฏ์‚ฌํ•ญ โ€ฏ 
    • ๋ณธ ๊ณต๊ณ ๋Š” ๋ชจ์ง‘ ์™„๋ฃŒ ์‹œโ€ฏ์กฐ๊ธฐโ€ฏ๋งˆ๊ฐ๋ โ€ฏ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.โ€ฏโ€ฏโ€ฏ
    • ์ง€์›์„œ ๋‚ด์šฉ ์ค‘ ํ—ˆ์œ„์‚ฌ์‹ค์ด ์žˆ๋Š” ๊ฒฝ์šฐ์—๋Š” ํ•ฉ๊ฒฉ์ด ์ทจ์†Œ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.โ€ฏโ€ฏ
    • ๋ณดํ›ˆ๋Œ€์ƒ์ž ๋ฐ ์žฅ์• ์ธ ์—ฌ๋ถ€๋Š” ์ฑ„์šฉ ๊ณผ์ •์—์„œ ์–ด๋– ํ•œ ๋ถˆ์ด์ต๋„ ๋ฏธ์น˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.โ€ฏ
    • ์ง๊ธ‰๊ณผ ๋‹ด๋‹น ์—…๋ฌด ๋ฒ”์œ„๋Š” ํ›„๋ณด์ž์˜ ์ „๋ฐ˜์ ์ธ ๊ฒฝ๋ ฅ๊ณผ ๊ฒฝํ—˜ ๋“ฑ ์ œ๋ฐ˜ ์‚ฌ์ •์„ ๊ณ ๋ คํ•˜์—ฌ ๋ณ€๊ฒฝ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ณ€๊ฒฝ์ด ํ•„์š”ํ•  ๊ฒฝ์šฐ, ์ตœ์ข… ํ•ฉ๊ฒฉ ํ†ต์ง€ ์ „ ์ ์ ˆํ•œ ์‹œ๊ธฐ์— ํ›„๋ณด์ž์™€ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜ ๋  ์˜ˆ์ •์ž…๋‹ˆ๋‹ค. 
  • ๊ฐœ์ธ์ •๋ณด ์ฒ˜๋ฆฌ๋ฐฉ์นจ โ€ฏ 
    • ์ฟ ํŒกโ€ฏ๊ทธ๋ฃน์€โ€ฏ์ž…์‚ฌ์ง€์›์žโ€ฏ๊ฐœ์ธ์ •๋ณด ์ฒ˜๋ฆฌ๋ฐฉ์นจ(์•„๋ž˜ ๋งํฌ)์— ๋”ฐ๋ผ ๊ท€ํ•˜์˜ ๊ฐœ์ธ์ •๋ณด๋ฅผ ์ˆ˜์ง‘ํ•˜์—ฌ ์ฒ˜๋ฆฌํ•ฉ๋‹ˆ๋‹ค.โ€ฏ https://www.coupang.jobs/kr/privacy-policy/  
  • ์„œ๋ฅ˜โ€ฏ๋ฐ˜ํ™˜ ์ •์ฑ… โ€ฏ 
    • ๋ณธ ๊ณ ์ง€๋Š” ใ€Ž์ฑ„์šฉ์ ˆ์ฐจ์˜โ€ฏ๊ณต์ •ํ™”์— ๊ด€ํ•œ ๋ฒ•๋ฅ ใ€ ์ œ11์กฐ ์ œ6ํ•ญ์— ๋”ฐ๋ฅธ ๊ฒƒ์ž…๋‹ˆ๋‹ค.โ€ฏ 
    • ๋‹น์‚ฌ ์ฑ„์šฉ์— ์‘์‹œํ•œ ๊ตฌ์ง์ž ์ค‘โ€ฏ์ตœ์ข… ํ•ฉ๊ฒฉ์ดโ€ฏ๋˜์ง€ ๋ชปํ•œ ๊ตฌ์ง์ž๋Š” ใ€Ž์ฑ„์šฉ์ ˆ์ฐจ์˜โ€ฏ๊ณต์ •ํ™”์— ๊ด€ํ•œโ€ฏ๋ฒ•๋ฅ ใ€์—โ€ฏ๋”ฐ๋ผ ์ œ์ถœํ•œโ€ฏ์ฑ„์šฉ์„œ๋ฅ˜์˜โ€ฏ๋ฐ˜ํ™˜์„ ์ฒญ๊ตฌํ•  ์ˆ˜ ์žˆ์Œ์„ ์•Œ๋ ค ๋“œ๋ฆฝ๋‹ˆ๋‹ค.โ€ฏ๋‹ค๋งŒ,โ€ฏํ™ˆํŽ˜์ด์ง€ ๋˜๋Š” ์ „์ž์šฐํŽธ์œผ๋กœ ์ œ์ถœ๋œ ๊ฒฝ์šฐ๋‚˜ ๊ตฌ์ง์ž๊ฐ€ ๋‹น์‚ฌ์˜ ์š”๊ตฌ ์—†์ด ์ž๋ฐœ์ ์œผ๋กœ ์ œ์ถœํ•œ ๊ฒฝ์šฐ์—๋Š” ๊ทธ๋Ÿฌํ•˜์ง€ ์•„๋‹ˆํ•˜๋ฉฐ,โ€ฏ์ฒœ์žฌ์ง€๋ณ€์ด๋‚˜ ๊ทธ ๋ฐ–์— ๋‹น์‚ฌ์—๊ฒŒ ์ฑ…์ž„ ์—†๋Š” ์‚ฌ์œ ๋กœโ€ฏ์ฑ„์šฉ์„œ๋ฅ˜๊ฐ€โ€ฏ๋ฉธ์‹ค๋œโ€ฏ๊ฒฝ์šฐ์—๋Š” ๋ฐ˜ํ™˜ํ•œ ๊ฒƒ์œผ๋กœ ๋ด…๋‹ˆ๋‹ค.โ€ฏ 
    • ์œ„โ€ฏ2ํ•ญ ๋ณธ๋ฌธ์— ๋”ฐ๋ผโ€ฏ์ฑ„์šฉ์„œ๋ฅ˜โ€ฏ๋ฐ˜ํ™˜ ์ฒญ๊ตฌ๋ฅผ ํ•˜๋Š” ๊ตฌ์ง์ž๋Š”โ€ฏ์ฑ„์šฉ์„œ๋ฅ˜โ€ฏ๋ฐ˜ํ™˜์ฒญ๊ตฌ์„œ [์ฑ„์šฉ์ ˆ์ฐจ์˜โ€ฏ๊ณต์ •ํ™”์— ๊ด€ํ•œ ๋ฒ•๋ฅ  ์‹œํ–‰๊ทœ์น™ ๋ณ„์ง€ ์ œ3ํ˜ธ ์„œ์‹]๋ฅผโ€ฏ์ž‘์„ฑํ•˜์—ฌ ๋‹น์‚ฌ ์ฑ„์šฉํŒ€ (์„œ์šธ์‹œ ์†กํŒŒ๊ตฌ ์†กํŒŒ๋Œ€๋กœ 570 ํƒ€์›Œ730 ์ฟ ํŒก์ฑ„์šฉํŒ€) ์œผ๋กœโ€ฏ์ œ์ถœํ•˜๋ฉด,โ€ฏ์ œ์ถœ์ด ํ™•์ธ๋œ ๋‚ ๋กœ๋ถ€ํ„ฐโ€ฏ14์ผ ์ด๋‚ด์— ์ง€์ •ํ•œ ์ฃผ์†Œ์ง€๋กœ ๋“ฑ๊ธฐ์šฐํŽธ์„ ํ†ตํ•˜์—ฌ ๋ฐœ์†กํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.โ€ฏ์ด ๊ฒฝ์šฐ ๋“ฑ๊ธฐ์šฐํŽธ์š”๊ธˆ์€ ์ˆ˜์‹ ์ž ๋ถ€๋‹ด์œผ๋กœ ํ•˜๊ฒŒ ๋˜์˜ค๋‹ˆ ์œ ๋…ํ•˜์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.โ€ฏ
    • ๋‹น์‚ฌ๋Š” ์œ„โ€ฏ2ํ•ญ ๋ณธ๋ฌธ์— ๋”ฐ๋ฅธ ๊ตฌ์ง์ž์˜ ๋ฐ˜ํ™˜ ์ฒญ๊ตฌ์— ๋Œ€๋น„ํ•˜์—ฌ ์ฑ„์šฉ ์—ฌ๋ถ€๊ฐ€ ํ™•์ •๋œ ๋‚ ๋กœ๋ถ€ํ„ฐโ€ฏ180์ผ๊ฐ„ ๊ตฌ์ง์ž๊ฐ€ ์ œ์ถœํ•œโ€ฏ์ฑ„์šฉ์„œ๋ฅ˜โ€ฏ์›๋ณธ์„ ๋ณด๊ด€ํ•˜๊ฒŒ ๋˜๋ฉฐ,โ€ฏ๊ทธ๋•Œ๊นŒ์ง€โ€ฏ์ฑ„์šฉ์„œ๋ฅ˜์˜โ€ฏ๋ฐ˜ํ™˜์„ ์ฒญ๊ตฌํ•˜์ง€ ์•„๋‹ˆํ•  ๊ฒฝ์šฐ์—๋Š” ใ€Ž๊ฐœ์ธ์ •๋ณดโ€ฏ๋ณดํ˜ธ๋ฒ•ใ€์—โ€ฏ๋”ฐ๋ผ ์ง€์ฒด ์—†์ดโ€ฏ์ฑ„์šฉ์„œ๋ฅ˜โ€ฏ์ผ์ฒด๋ฅผ ํŒŒ๊ธฐํ•  ์˜ˆ์ •์ž…๋‹ˆ๋‹ค.
    • ์ฑ„์šฉ ๋ฐ ์—…๋ฌด ์ˆ˜ํ–‰๊ณผ ๊ด€๋ จํ•˜์—ฌ ์š”๊ตฌ๋˜๋Š” ๋ฒ•๋ น์ƒ ์ž๊ฒฉ์ด ๊ฐ–์ถ”์–ด์ง€์ง€ ์•Š์€ ๊ฒฝ์šฐ ์ฑ„์šฉ์ด ์ œํ•œ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค 

 


About Coupang 

Coupang is one of the largest and fastest growing e-commerce platforms on the planet. We are on a mission to revolutionize everyday lives for our customers, employees and partners. We solve problems no one has solved before to create a world where people ask, โ€œHow did we ever live without Coupang?โ€ Coupang is a global company with offices in Beijing, Los Angeles, Seattle, Seoul, Shanghai, and Silicon Valley.

 

About the Team 

Weโ€™re part of Customer Experience Product team, which aims to improve how our customers interact with your mobile/web products with their e-commerce journey.
Weโ€™re responsible for providing support in utilising decision science techniques in product development, along with discovery of customer behaviours within our products, in journey of creating better customer-facing products.

 

What you will do with us

ยท Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to aid the development of strategies for our products, while define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
ยท Validate hypotheses โ€“ generate test hypotheses, validate opportunities and recommend actions that can have positive improvements in customer experience and business KPIs.
ยท Test Analysis โ€“ Drive proper A/B analysis with statistical rigor and perform cohort studies to answer โ€œwhy?โ€ on test result drivers. Ideate more complex tests from an analytical and insightful reporting perspective.
ยท Develop automated data workflows and dashboards to monitor ongoing test performance/results, with maintaining key data artifacts and lineage (e.g., ETL, data models, queries)
ยท Utilizes relevant visualization tools (Tableau/PowerBI/Superset/etc) to help track metrics and investigate data anomalies, and further segment metrics along suitable dimensions to reveal deeper dynamics
ยท Dive deeply into technical and operational details of the business (e.g., key dependencies, business drivers/KPIs, develop actionable business insights, etc.) and contribute to constructive technical discussions
ยท Explore and test more technically/computationally efficient solutions. Know how to ingest, process, and analyze data.
ยท Improve dataset quality and automate manual processes
ยท Provides insights and solutions that inform product team's business decisions
ยท Communicate proposals, findings with stakeholders and document through wiki for further consumption and distribution
ยท For more senior roles, we expect you to be able to own an analytical domain of increasing complexity within the CX products and independently engage with multiple POs to prioritise and drive analytical/decision science agenda, while managing a small team(2-4) of analysts.

 

Qualifications

ยท Wealth of experience in using querying language(e.g. SQL) and scripting language (Python) with understanding of Spark, experiencing of utilising GPU(e.g. RapidsAI, CUDA) for is a plus.
ยท Understanding of A/B tests and its statistical concepts, including Bayesian statistics, with experience in designing and interpretation of A/B test results
ยท Having a comprehensive understanding of distributed systems, data modelling, and scientific methods. Highly proficient in descriptive statistics and inferential statistics
ยท Good presentation and communication skills in explaining data, as we often engage non-data savvy stakeholders
ยท Having inquisitive mindset- should be ready to dive into the unknown, discover, and share findings with others, while employing critical thinking and detail-oriented focus to solve ambiguous and unstructured problems
ยท Good command of English is a plus

 

[Recruitment Process and Others]

  • Recruitment Process:
    • Application Review - Home Test - Interview (2 rounds) - Offer
    • The recruitment process may be different depending on the job and may be changed due to scheduling and circumstances.
  • Others:
    • This job post may be closed early if all openings are filled.
    • If there is any false information in the application, the offer may be cancelled.
    • Veteran status or disability will not result in any disadvantages in the recruitment process.
    • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage

 

[Privacy Notice]

 

[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 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 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 of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
Coupang
Coupang
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