

Experimentation Analyst designs and evaluates 4–8 A/B tests per month, SQL analysis, and reusable reporting automation to improve client reactivation, conversion, and campaign performance. Delivered a 20% lift in reactivation for long-time inactive clients, a 10% increase in secondary purchase conversion, and faster experiment readouts by cutting reporting time from hours to under 30 minutes. Also led work on proxy metrics for DWH experimentation and identified ineffective campaigns that saved tens of thousands of dollars.
SQL
Excel
Python
Data Visualization
Statistics / A/B testing
Experiment design
Experiment analysis
Hypothesis testing
Cohort analysis
Metric design
Dashboard development
Reporting automation
Business intelligence reporting
Data quality checks
Stakeholder communication