\xe2\x80\xa2 Bachelor\xe2\x80\x99s Degree \xe2\x80\xa2 Experience with Microsoft Office, including Outlook, Word, and Excel \xe2\x80\xa2 Exceptional analytical, logical and data gathering skills \xe2\x80\xa2 Excellent communication and comprehension skills \xe2\x80\xa2 Excellent problem solving skills
Amazon is seeking highly motivated Machine Learning Data associates for its Fulfillment by Amazon\xe2\x80\x99s (FBA) Support Operations site in Bangalore. FBA is a growing business built around Amazon\xe2\x80\x99s world class capability in Ordering, Fulfillment, Transportation and Customer Service. By leveraging our current scale and supply chain, FBA can provide a low cost alternative for fulfillment and enable sellers to rapidly grow their business. As mentioned by Jeff Bezos, Founder of Amazon.com, in his annual letter to shareholders, FBA is one of the strategic long term opportunities for the company to improve the lives of sellers and buyers while leveraging our billion dollar logistics infrastructure to generate increasing free cash flow and triple digit return on invested capital. Our long term vision is that customers can order and receive a sellers\xe2\x80\x99 product the same day anywhere in the world. Support Operations role in FBA is to support Sellers with financial related questions and ensure they are addressed in accordance with policy. We believe consistency is the foundation to the world class service we provide our Sellers and Support Operations is at the center of ensuring consistent and fair evaluation of Seller inquiries Key job responsibilities Responsibilities include: \xe2\x80\xa2 Assist with deep dive and root cause resolution for FBA Merchant and seller reimbursement requests. \xe2\x80\xa2 Evaluate research requests from FBA Sellers for lost and damaged inventory in a contact center environment (email/ticketing only, no phones). \xe2\x80\xa2 Achieving weekly productivity and quality targets. A day in the life Consistently improving Seller experience About the team Mission - To mitigate business risk while driving an excellent customer experience
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