Sr. Data Analyst (Post Purchase Experience Analytics)
Core
Building data infrastructure and performing deep analysis to improve customer post-purchase experiences (CS, returns, self-service) across Korea and Taiwan markets.
Role type
Senior Data Analyst (Post Purchase Experience Analytics)
Builds
Data pipelines, mart tables, and dashboards for CS, Returns, and Self-Service domains.
Domain
E-commerce / Customer Experience Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
SQL (Presto/Hive), Data ETL & Pipeline Orchestration (Airflow), Dashboarding (Tableau/Power BI), Statistical Methods (A/B Testing, Causal Inference), Cross-functional Collaboration
Preferred skills
E-commerce CS/Returns domain knowledge, Customer Journey Analysis, Python, GenAI/LLM tools for workflow automation
Technologies
Presto, Hive, Airflow, Tableau, Power BI
Responsibilities
Monitor CS metrics and perform root cause analysis to reduce inquiries; Analyze returns and CRMS domains to improve completion rates and efficiency; Define and manage metrics to improve MyCoupang self-service conversion; Design and manage data pipelines and governance processes; Execute A/B tests and causal inference to measure initiative impact; Collaborate with CS, Product, and Engineering teams to deliver insights.
Seniority
Senior, hands-on IC
