Offers “Amazon”

Expires soon Amazon

Business Analyst

  • SINGAPORE
  • Bachelor's Degree
  • IT development

Job description



DESCRIPTION

At Amazon we believe that Customer trust is of paramount importance to anything we do. To continue building customer trust the Selling Partner Abuse team works with brands, merchants and customers to identify and prevent product abuse in areas such as copyright, trademark and counterfeit for our customers worldwide.

We are looking for an analytical candidate to join the APAC Selling Partner Abuse team in Singapore as a Business Analyst. In this role you will generate actionable insights through the development of metrics, dashboards and deep dive analyses. You will work closely with our machine learning and data science group in defining and implementing new initiatives. You will serve as the business metrics guru and insight provider in our team to assess, to prevent, and to predict e-commerce risk. You will do this in partnership with other Amazon compliance teams including Product Quality & Safety, Selling Partner Performance, and Brand Registry across our APAC websites for Amazon.

The Selling Partner Abuse APAC team covers abuse for Retail and 3P in JP, IN, AU, CN, and SG. When brand partners notify us of suspected infringement of intellectual property or when we detect suspected fraud, we investigate and take the appropriate action. To continue building customer trust, we invest in processes, policies and tools to prevent product abuse and fraud. We are adding a business analyst to help us generate customer insights, track existing and emerging abuse vectors, and quantify our progress across the APAC region. In this role you will closely partner with other teams including Product Quality, Safety, Compliance, Fraud and Legal. We measure our success in how quickly and accurately we identify and eliminate cases of product abuse and fraud to protect customers and to protect intellectual property rights on Amazon across APAC.

Desired profile



BASIC QUALIFICATIONS

· Bachelor's Degree
· 5+ years professional experience in analytics, business analysis or comparable consumer analytics
· Advanced working knowledge of data mining using SQL, ETL, data warehouse as well as Excel
· Ability to display complex data in a simple, intuitive format
· Business proficiency in speaking and writing in English

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