Business Analyst II, Customer Partner Trust

Overview

- 3+ years of tax, finance or a related analytical field experience - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 3+ years of business or financial analysis experience - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - Experience with Excel
The WW Customer partner trust (CPT) vision is to enable every brand ranging from the small business to the large multi-national corporation – to be able to thrive and grow into a global selling success. Our mission is to enable the long-term success of our selling partners by providing the most trusted shopping and selling experience and by providing solutions for accelerating our selling partners’ business growth. We are entrusted with preventing fraud and abuse, and we are guardians for all our customers. We deliver at massive scale through technology, science, and expert human judgment while continuing to think even bigger about the future. SPTC designs and builds the software systems, risk models, compliance solution and operational processes across Amazon Marketplaces with over 2 million sellers worldwide selling hundreds of millions of items. This minimize risk and maximize trust across Amazon's global product surface area, by ensuring every transaction and entity is compliant. We do all of this while creating a team culture that we are proud of – one that builds fulfilling careers, is inclusive and gives back the community, and is fun to be a part of. CPT Data Engineering and Analytics(DEA) team is looking for a highly analytical and result-oriented Business Analyst who can analyze business decisions, troubleshoot issues, and communicate the findings effectively across different teams while raising the technical bar of the globally distributed analytics team, providing data wrangling expertise, deep understanding of data fundamentals, working with and synthesizing very large datasets. We utilize multiple externally and internally (AWS and other) developed data platforms, including real-time and close to real-time platforms, to help create signal out of the mountains of data. Our ideal analyst is one who enjoys discovering and solving complicated problems, can quickly learn complex systems, likes to work with numbers, and takes pride in organizing and communicating his work. You should have the technical experience and knowledge to work comfortably using SQL, Quick-sight/Tableau/Power BI. Additionally experience with designing data schemas that will allow you, and colleagues, which include Business Intelligence Engineers and Data Engineers to make sense of the vast datasets we possess.