Senior / Staff, Data Analyst (Growth Analytics- Product Intelligence)

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 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 Product Intelligence team, you will be an analytics partner for our marketing channel experiments. You will also build new analytics assets to systematically drive new insights, and to improve experimentation velocity. 

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 a Quantitative field (Statistics, Engineering, Business, Physics), or equivalent experience 

• Has experience with SQL, Python, and R/SAS or any statistical package 

• Has AB testing experience 

• 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 

• Data visualization (e.g., Tableau, Qlik, Looker, Power BI) 

• Has experience managing multiple stakeholders well 

Preferred 

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

• Has experience in E-commerce product analytics 

• English language skills 

• Data pipeline creation and scheduling experience (e.g., Airflow)