Coupang

Senior, Data Analyst (Growth Analytics)

Seoul, South Korea
SQL Python R Hadoop Spark
Description

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we 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 at since our inception. We are all entrepreneurial 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.

 

Job Overview

The Growth Analytics team brings this data together to generate actionable insights, answer complex business questions, and help us deepen our understanding of Customers. As a Senior/Staff Data Analyst of the Growth Analytics Channel Intelligence team, you will focus on Paid Marketing Channel such as Search Ads, Display Ads performance and optimization, including conversion tracking by applying various KPI's, along with analyzing the success of A/B and multivariate testing initiatives.

 

Key Responsibilities

  • Hypothesis Validations - Generate test hypotheses and clearly validate opportunities/recommend actions that can have positive improvements in customer experience and business KPI's.
  • Test Analysis - Drive proper A/B analysis with statistical rigor and perform cohort studies to answer "why?" on test result drivers. Ideate more complex tests from an analytical and insightful reporting perspective
  • Tell a Concise Story - At completion of Tests, build timely, compelling, fact-based test recaps that strongly communicate the business 'story' behind the data and test outcomes
  • Communicate Results - Identify successes, failures, trends, and effectively communicate these findings to the organization. If test results are positive - analyze KPI improvements in pre/post A/B test
  • roll-outs; if results are negative - perform driver analysis to recommend next iteration of that test

 

Qualifications

  • Bachelor's degree in Quantitative field (Statistics, Engineering, Business), or equivalent experience
  • Has experience with SQL, Python, and R/SAS or any statistical package
  • Has experience working with Big Data technologies like Hadoop, Spark, and Presto
  • Strong critical thinking and detail-oriented with an aptitude for solving unstructured problems

 

Preferred

  • Master's degree in Quantitative field (Statistics, Engineering, Business),
  • Has experience in E-commerce product analytics

 

전형 절차 및 안내 사항  

  • 전형절차   
  • 서류전형 - 전화면접 -대면면접 – 최종 합격    
  • 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.  
  • 전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.  
  • 참고사항   
  • 본 공고는 모집 완료 시조기 마감될 수 있습니다.    
  • 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.  
  • 보훈대상자 및 장애인 여부는 채용 과정에서 어떠한 불이익도 미치지 않습니다. 
  • 개인정보 처리방침  
  • 서류반환 정책   
  • 본 고지는 『채용절차의공정화에 관한 법률』 제11조 제6항에 따른 것입니다.  
  • 당사 채용에 응시한 구직자 중최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다.  
  • 위2항 본문에 따라 채용서류 반환 청구를 하는 구직자는 채용서류 반환청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제3호 서식]를 작성하여 당사 이메일(recruitingops@coupang.com)로 제출하면, 제출이 확인된 날로부터 14일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다.  
  • 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 
Coupang
Coupang
Internet of Things Semiconductor Wireless Analytics Artificial Intelligence (AI) Information Technology Machine Learning SaaS Automotive Charging Infrastructure Electric Vehicle Manufacturing Advertising Advertising Platforms Consumer Electronics Digital Entertainment Digital Media Hardware Media and Entertainment Software Air Transportation E-Commerce Hotel Tourism Travel Travel Accommodations Delivery Point of Sale Restaurants SaaS Software Apparel Consumer Electronics Consumer Goods Customer Service E-Commerce Retail Shopping

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