Jiyoon Jang is a data analyst with 11 years of experience translating complex datasets into clear business actions and user-centered product improvements. She blends hypothesis-driven analysis, optimized SQL/Python querying, and experimental design (A/B tests, cohort and funnel analyses) to validate insights and recommend high-impact changes. Her work spans industries including banking and insurance, and most recently she has focused on fraud detection rule-setting for transactional activity at Toss. A strong storyteller, she pairs concise, fact-based narratives with visualizations to align cross-functional teams and drive KPI improvements. Trained in economics at Korea University with a 3.94 GPA, she seeks roles that challenge her analytically and support continuous professional growth.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Arts - BA, Economics, 3.94, Bachelor of Arts - BA, Economics, 3.94 at 고려대학교
Contributions:2 releases, 5 pushes, 1 branch in 2 years
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