Staff Data Analyst_CX Product Analytics, Data Strategy & Services

About Coupang 🚀

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.

About CX Analytics Strategy & Servoces 🚀

Working across various domains of Coupang Core App, Data Strategy Analyst actively identifies opportunities to enhance customer experience and analytics focus areas that could be meaningful for product teams. This team also actively suggests data strategy in regards to leveraging true data source to senior product leaders, influencing to product strategy in a bigger picture.

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. Develop automated data workflows and dashboards to monitor ongoing test performance/results.
• 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

Basic 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 Experience 🚀

• 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 is a plus