Business Analyst, Payment Risk Analytics

$50,200 - $107,400/Yr

Amazon - Seattle, WA

Full-time - Mid Level

Seattle, WA

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Business Analyst in Payment Risk Analytics at Amazon is responsible for analyzing large datasets to identify risks and trends related to fraudulent activities in e-commerce transactions. This role involves collaborating with various stakeholders to develop scalable solutions that enhance operational efficiency and improve trust in the online marketplace. The analyst will utilize a range of analytical tools and techniques to present insights and metrics that drive decision-making and operational improvements.

Responsibilities

• Understand the various operations across Payment Risk
• Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight
• Perform business analysis and data queries using scripting languages like R, Python, etc.
• 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 create robust, scalable analytics solutions and frameworks with the help of Analytics/BIE managers
• Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area
• Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)
• Draw inferences and insights from the data using EDA and data manipulations using advanced SQL for business reviews

Requirements

• 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 and SQL in a business environment
• 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 databases and data warehouses

Nice-to-haves

• Experience in e-commerce / online companies in fraud / risk control functions
• Analytical mindset and ability to see the big picture and influence others
• Experience with visualization technologies such as Tableau
• Detail-oriented and must have an aptitude for solving unstructured problems
• Good oral, written and presentation skills combined with the ability to be part of group discussions and explaining complex solutions
• Ability to apply analytical, computer, statistical and quantitative problem solving skills
• Ability to work effectively in a multi-task, high volume environment
• Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations

Benefits

• Medical, dental, and vision insurance
• 401(k) retirement plan
• Paid time off and holidays
• Employee discounts
• Tuition reimbursement
• Flexible work hours
• Professional development opportunities