Bachelor's Degree in any quantitative discipline such as Statistics, Mathematics, Quantitative Finance or Operational Research
- At least 2 or 3 years of experience working in Analytics / Business Intelligence environment
- Experience in working with databases
- Experience with visualization technologies such as Quicksight and other BI Visualization Tools
- Experience defining requirements and using data and metrics to draw business insight
- Demonstrated use of analytical packages and query languages such as SQL, Python, R or SAS
- Prior experience in design and execution of analytical projects
- Worked extensively in large scale data bases and data warehouses
Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of e-commerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats?
You should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.
Key job responsibilities
- Understand the various operations across Payment Risk
- Design and develop highly available dashboards, perform business analysis and data queries using SQL, Excel and other BI Tools
- Understand the requirements of stakeholders and map them with the data sources/data warehouse
- Own the delivery and backup of periodic metrics, dashboards to the leadership team
- Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies
- Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers
- Perform business analysis and data queries using appropriate tools
- Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area
- Experience in e-commerce / on-line companies in fraud / risk control functions
- Analytical mindset and ability to see the big picture and influence others
- Demonstrated use of analytical packages and query languages such as SQL, Python, R or SAS
- Detail-oriented and must have an aptitude for solving unstructured 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
- Strong oral, written and presentation skills combined with the ability to be part of group discussions and explaining complex solutions
- Ability to work effectively in a multi-task, high volume environment
- Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations
- Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)
- Meets/exceeds Amazon's leadership principles requirements for this role
- Meets/exceeds Amazon's functional/technical depth and complexity for this role
