Staff Data Analyst (Fraud & Risk)
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Die Stelle
Lead data-driven initiatives to reduce fraud and strengthen risk controls across payments, merchants, and abuse prevention.
Translate complex data into actionable insights, dashboards, and KPI systems for cross-functional partners.
Design scalable data solutions and predictive models to influence product strategy and infrastructure decisions.
Develop and maintain analytical reports, methodologies, and documentation; keep systems up-to-date with evolving technologies.
Prioritize metric requests, guide junior analysts, and drive high-quality delivery of business initiatives.
Communicate results clearly to both technical and non-technical stakeholders in Korean and English to enable data-driven decisions.
Translate complex data into actionable insights, dashboards, and KPI systems for cross-functional partners.
Design scalable data solutions and predictive models to influence product strategy and infrastructure decisions.
Develop and maintain analytical reports, methodologies, and documentation; keep systems up-to-date with evolving technologies.
Prioritize metric requests, guide junior analysts, and drive high-quality delivery of business initiatives.
Communicate results clearly to both technical and non-technical stakeholders in Korean and English to enable data-driven decisions.
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StadtSeoul, Südkorea