امین وحیدیان

Led a commercial data team (1 analyst, 1 junior) supporting a 30+ cross-functional organization; built Metabase and ClickHouse dashboards and automated reports to monitor NMV, fulfillment cost, and order trends. Partnered with category and operations teams to optimize discount campaigns, driving an estimated 12–15% uplift in ROI and reducing reporting time by 70%.

Spearheaded acquisition strategy and onboarding processes while leading a team of 7 to improve operational efficiency and integration of new clients and employees. Designed training programs and aligned acquisition objectives with sales and product teams to streamline onboarding and support growth initiatives.

Led target setting and budgeting using seasonality and market forecasts; automated budgeting with Power Query, reducing task time by 80% and freeing 30 hours monthly for strategic analysis. Developed Python algorithms and launched a Commercial Analytics live dashboard to improve targeting accuracy by 25% and reduce manual errors by 85%.

Implemented pricing monitoring algorithms and automated seller communications to improve campaign pricing accuracy by 10% and streamline campaign entry for eligible sellers. Collaborated with PR and seller engagement teams to reduce customer dissatisfaction by 40% and increase NPS by 30% through targeted communication and SLA improvements.

Bachelor of Mining Engineering from Sharif University of Technology from 2012 to 2016.