Business Ops Specialist - Shanghai, Amazon Global Selling
DESCRIPTION
Amazon China is a leader and driving change in the most exciting, fast paced, and growing market on the planet. Here we are excited to offer fresh graduates the opportunity to launch into big careers with limitless possibilities.
Amazon Global Selling has been helping individuals and businesses increase sales and reach new customers around the globe and is responsible for recruiting local businesses to sell on Amazon’s 19 overseas marketplaces, and supporting local Sellers’ success and growth on the Amazon. Our vision is to be the first choice for all types of Chinese business to go globally.
The Amazon Global Selling team is looking for ambitious graduates to join. You should be passionate about working with complex datasets and be someone who loves to turn data into insights to answer strategic business questions. You should have deep expertise in analytic view of business questions, building up & refining framework to measure business operation and translating data into meaningful insights. In this role, you will have ownership of analytics development to complex questions and you’ll play an integral role in strategic decision making. You should have excellent business and communication skills to be able to work with business owners to understand business challenges & opportunities, and to drive data-driven decision into process & tool improvement together with business team. Above all, you should be passionate about how insights can be used to improve both the Customer and Seller experience of selling across borders.
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BASIC QUALIFICATIONS
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Proficiency in English is strongly desired
- Excellent communication skills with team work spirits
- Experience with SQL or equivalent data analytical tools
- Experience using Microsoft Excel to manipulate and analyze data
- Strong analytical skills and ability to quickly pick up the relevant system tools
- Self-starter with strong learning capabilities, capable to work well under high pressure
PREFERRED QUALIFICATIONS
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Master in data processing, automation and optimization, experience in scripting (e.g. Python) and data visualization
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets