Bachelor's degree
- 3+ years relevant experience in financial/business analysis
- Experience in data transformation through SQL and Excel.
- Experience with data visualization tools such as Tableau, QuickSight, MicroStrategy, etc.
- Experience working with large-scale, complex datasets.
- Strong verbal and written communication skills.
Job summary
About the team
Customer Trust & Partner Support (CTPS) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world-class support, and building loyalty with Amazon's millions of selling partners.
We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully.
Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company.
The Selling Partner Trust, Abuse, Risk and Reviews (STAR) focuses on building and maintaining selling partner trust, preventing multiple forms of seller and vendor abuse, and reinforcing customer trust in our store.
STAR addresses risk from Selling Partner accounts across three areas.
The STAR team enforces Amazon's selling and listing policies regardless of whether they are acting alone, or in collusion with other parties.
The team also creates a trustworthy selling experience to ensure that Selling Partners perceive Amazon as the safest and most effective store in which to sell their products worldwide.
Finally, STAR partners with all CTPS teams to audit and ensure accuracy in our enforcement actions.
About the role
We're looking for leaders who are passionate about providing exceptional services, think globally, and have the ability to innovative on behalf of Amazon and its Customers, are you that person?
In this role, you will be
- Identifying, and tracking initiatives that improve the Customer experience.
- Conducting analysis to isolate issues based on changing business priorities.
- Interacting with stakeholder teams to define data solutions and establish standard processes.
- Working with science and engineering teams to track ongoing issues.
- Build data processes to track the team's overall efficiency.
- Master's degree.
- Familiarity with Redshift, Hadoop, etc.
- Demonstrated strength in data modeling, ETL, and Data warehousing.
- Proficiency with at least one statistical software package, e.g.
R, SPSS, etc.
- Proven ability in conducting statistical analysis, e.g., regression, modeling, forecasting, etc.