Staff Data Analyst_CX Product Analytics (Eats Analytics)

About Coupang 🚀

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 trade-offs 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, for millions of consumers in Korea, which is the world’s 5th largest and fastest growing e-commerce market.

Job Overview 🚀

The Product Analytics team brings data together to generate actionable insights, answer complex business questions, and help us deepen our understanding of Customers. As a Data Analyst on the team, you will focus on Coupang mobile app performance and optimization, including conversion tracking by applying various KPI’s, along with analyzing the success of A/B and multivariate testing initiatives.

You will work closely with Engineering and Product teams to not only accomplish business goals, but to come up with novel ways to capture and analyze data. Additionally, you will contribute to analytics projects designed to help drive Coupang's growth, support specific initiatives from all areas of Coupang, and help analysts across the team and organization with their development.

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 🚀

• Minimum 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
• Tableau, Redash and Airflow experience
• Solid A/B testing experience