Staff, Data Analyst (Customer Experience Product Analytics)

Seoul, South Korea

Applications have closed

Coupang

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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, “How did we ever live without Coupang?” Coupang is a global company with offices in Beijing, Los Angeles, Seattle, Seoul, Shanghai, and Silicon Valley.


Job Overview:

The Product Analytics team brings this data together to generate actionable insights, answer complex business questions, and help us deepen our understanding of Customers.

As a Staff Data Analyst on the Customer Experience Product Analytics team, you will focus on Coupang core commerce mobile app performance and optimization, including growth and 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 ambiguous and unstructured problems


Preferred:

• Master’s degree in Quantitative field (Statistics, Engineering, Business),
• Has experience in E-commerce product analytics
• Has experience in Predictive modeling and Data Science framework

 

Recruitment Process and Others

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

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data E-commerce Engineering Hadoop Predictive modeling Python R SAS Spark SQL Statistics Testing

Perks/benefits: Startup environment

Region: Asia/Pacific
Country: South Korea
Job stats:  15  1  0

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