Data Analyst, PSAS Analytics

Job summary
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.

As a team within CTPS, Partner Solutions & Support (PSAS), strives to make Amazon the best way for Selling Partners to reach customers locally and globally and to operate their businesses, driven by the accurate and efficient support and solutions we provide them. PSAS focuses on both preventing Selling Partner (Seller, Vendor and Brand Registry) contacts through preventing issues based on knowledge obtained during our support interactions, and for handling those contacts with quality and efficiency. To achieve this vision, we invest in technology to eliminate the root cause defects that cause Selling Partners to seek help, build self-service tools to resolve their issues on their own without waiting for help from Amazon, and provide Associates with the tools that automate routine steps and help them deliver consistent, efficient, quality resolution, Our team includes product managers, program managers, SDEs, scientists, and a range of operational and other specialty roles, and we operate at scale with over 17K Amazonians in our team, spanning 50+ global locations, and handling over 50M contacts a year


Are you data savvy, business focused, with a desire to use your analytical prowess to help others understand Seller needs and drive change through rigorous data analysis? We are looking for a Business Analyst to join the PSAS Science and Analytics team. The successful candidate will be highly analytical, an expert with SQL and Excel, experience with A/B testing , resourceful, customer-focused, strategic-thinking, and have an ability to work independently under time constraints to meet deadlines.

Basic Qualifications

· 3+ years relevant experience in financial/business analysis
· Experience defining requirements and using data and metrics to draw business insights
· Experience making business recommendations and influencing stakeholders
· Experience with SQL
· Experience in Excel

BS/BA in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Information Systems, quantitative Social Sciences or related field

3+ years Experience with A/B testing

4+ years Experience writing SQL queries


Experience using data and metrics to back up assumptions and develop business cases


Ability to translate complex analysis into actionable recommendations

Preferred Qualifications

Advanced degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Information Systems.

Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes

Proficiency in a coding ( preferably Python)

Experience with Redshift and reporting platforms such as Quicksite or Tableau

Experience with predictive analytics, data mining, and data visualization