Sr. Staff, Data Analyst (Product Experimentation)

Seoul, South Korea

Applications have closed

Coupang

Join us to innovate. Rocket your career. Collaborate with teams across the globe. Find your role and learn more about our culture.

View company page

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.

Powered by an outstanding end-to-end e-commerce and logistics network and a fanatical culture of customer centricity, Coupang has broken tradeoffs around speed, selection and price. Today, we provide exceedingly fast shipping speeds on millions of items including fresh groceries, delivered within hours nationwide, 365 days a year.

We are doing this for millions of consumers in Korea. Korea is home to one of the largest and fastest growing e-commerce opportunities anywhere in the world.

Job Overview:

At any given instance there are more versions of Coupang App than population of Korea. The Customer Experience Product (CXP) Experimentation team partners with multiple Product, Engineering, and other cross-functional teams to help establish and drive culture of product experimentation at Coupang that supports this scale.

As a Sr. Staff, Data Analyst on the team, you will primarily focus on setting up analytical standards for product experimentation and creating processes to systematically drive the implementation of these standards right from design of experiments to launch decisions. You will be the go-to for anything experiment related and help with data analysis approach (occasionally analyzing data yourself), designing complex test requirements and evaluating the results.

Key Responsibilities:

  • Be a product experimentation consultant for design and analysis of A/B tests
  • Define and own periodic review of standards to enable product experimentation of highest quality within Coupang
  • Work with all relevant stakeholders including experimentation platform team to setup efficient processes to apply, uphold and upgrade these standards across all product verticals
  • Create and automate analysis frameworks to evaluate success and identify learnings/opportunities
  • Support decision making by reviewing experiments in line with Coupang Product vision and strategy
  • Plan and facilitate appropriate training to experiment owners and analysts 

Qualifications:

  • Bachelor’s degree in Quantitative field (Statistics, Engineering, Business), or equivalent experience
  • 8+ years of experience in Analytics
  • At least 4 years in product analytics, with demonstrated experience in decision making using data and working with senior stakeholders
  • Ability to communicate effectively to stakeholders of all levels of technical and business maturity
  • Intermediate to advanced knowledge of experiment design and analysis
  • Ability to handle data - SQL or other querying language

Preferred: 

  • Master’s degree in Quantitative field (Statistics, Engineering, Business)

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: A/B testing Data analysis E-commerce Engineering SQL Statistics

Region: Asia/Pacific
Country: South Korea
Job stats:  9  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.