Jongsu Lee
@jongsulee
Senior data analyst turning complex datasets into automation-driven revenue and efficiency impact.
What I'm looking for
I’m a data and analytics professional with 8+ years of experience turning complex datasets into insights that drive revenue, efficiency, and strategy.
Currently at Criteo, I specialize in Supply Side Platform (SSP) analytics—optimizing publisher monetization, leading supply path optimization, and building automated reporting workflows. My work has delivered measurable impact, from 10%+ revenue growth through floor price optimization to 12% performance gains via supply path analysis.
Previously at Bigin, I developed ML-based customer analytics for e-commerce clients, including RFM segmentation, LTV forecasting, and recommendation engines served via API—contributing to $5M+ in revenue and securing long-term client retention.
Earlier roles at SAP Korea and Seagate Technology gave me strong foundations in marketing data automation, CRM optimization, and large-scale process improvement.
I thrive at the intersection of data, business, and technology—using SQL, Python, and BI tools (Tableau, Power BI, Redash, Dash) to bridge teams and turn analytics into actionable strategies. I’m passionate about solving problems, building scalable solutions, and helping organizations unlock value from their data.
Experience
Work history, roles, and key accomplishments
- Led supply path optimization across Japan and Korea, eliminating inefficient reseller paths and boosting direct integrations, driving a 12% improvement in performance
- Monitored SSP KPIs (fill rate, eCPM, yield, latency) and optimized floor prices, achieving 10% QoQ growth in publisher revenue
- Optimized internal margin factor variables, increasing company margin by 15% without impacting publi
- Built ML-based analytics features for a marketing SaaS platform (RFM, LTV, recommendation engines, market basket analysis), enhancing customer engagement and retention
- Delivered 100+ analytics requests for e-commerce clients, improving client satisfaction and reducing churn
- Led enterprise analytics projects, generating $5M+ revenue and securing 35% of monthly recurring revenue from long-term
-Transformed a legacy CRM database into an analytics-ready system within one month
-Automated lead management with Python, reducing pipeline operations by 90%
-Produced KPI dashboards and campaign reports, handling 100+ data requests and supporting GDPR compliance
- Owned test process monitoring and yield analysis across drive manufacturing, implementing improvements to boost efficiency and quality
- Led yield improvement projects with cross-functional engineering teams, troubleshooting test failures and reducing variability
- Standardized test protocols and documentation, ensuring quality consistency across production floors
Education
Degrees, certifications, and relevant coursework
The University of Suwon
Bachelor of Engineering (B.E.), Industrial Engineering
2009 - 2013
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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