Amazon Global Selling is a key initiative to achieve our vision to offer customers Earth’s largest selection. We provide businesses the opportunity to sell their goods on the Amazon platform worldwide. Each year, tens of thousands of businesses join our Marketplace globally, adding millions of new products.
Amazon's Asia Global Selling Existing Seller Management (ESM) team currently seeks a results oriented Analytic Customer Success Manager who can turn data into actionable insights, and support answer strategic business questions, and learn quickly and build trust with various stakeholders in a dynamically changing environment. In this role, s/he will be a key member of the Selection Success Team, providing critical support to drive greater efficiency, productivity, consistency, scalability, and impact.
Roles and Responsibilities:
- Ownership of end-to-end analytics development to complex questions and you’ll play an integral role in strategic decision making.
- Have deep expertise in analytic view of business questions, building up & refining metrics framework to measure business operation and translating data into meaningful insights.
- Cross analysis with in-depth Seller learning under each profile through wokring with Account Managers/Selling Partners to generate business insights to help Sellers grow.
- Co-work with multiple stakeholder / business teams to develop new business initiatives and translate into execution.
Key job responsibilities
- Develop Product/Program Master plan for ESM, and build implementation plan.
- Deliver business dive deep and risk management.
- Build ESM PoV, to drive global/ multi-functional/ ESM level influence.
About the team
ESM- FBA/CtS CSM team aims to provide solutions to optimize seller experience and cost.- Experience with strong project management skills and the ability to thrive in a fast-paced environment
- - 5+ years of analyzing and interpreting data with SQL, Excel and other data tools
- - Experience with data visualization using Quicksight, or similar tools (Tableau)
- - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- - Experience in data automation and able to build report/dashboard through automation tools
- - Experience working directly with business stakeholders to translate between data and business needs- - Experience in Python or R is a plus
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