Amazon Business Analyst Payment Risk Operations 

United States, Washington, Seattle 

789434677

Key job responsibilities
1. Understand the various operations across Payment Risk Operations3. Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/Quicksight
4. Perform business analysis and data queries using scripting languages like R, Python etc
5. Understand the requirements of stakeholders and map them with the data sources/data warehouse
6. Own the delivery and backup of periodic metrics, dashboards to the leadership team
7. Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies
8. Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers
9. Perform business analysis and data queries using appropriate tools

- 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
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL
- Experience making business recommendations and influencing stakeholders

- 1. Experience in e-commerce / on-line companies in fraud / risk control functions 2. Analytical mindset and ability to see the big picture and influence others
- 3. Detail-oriented and must have an aptitude for solving structured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to finally come up with data/reports that help solve the business problem
- 4. Ability to apply analytical, computer, statistical and quantitative problem solving skills is required
- 5. Ability to work effectively in a multi-task, high volume environment
- 6. Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations
- 7. Meets/exceeds Amazon’s leadership principles requirements for this role
- 8. Meets/exceeds Amazon’s functional/technical depth and complexity for this role