Our mission as the Buyer Risk Prevention (BRP) organization is to make Amazon the safest and most trusted place worldwide to transact online. An essential part of this mission is to prevent buyers from abusing Amazon policies. Buyer abuse leads to reputational and financial loss for Amazon and our selling partners as well as a loss of trust from other buyers. As such, the Buyer Abuse Prevention (BAP) team designs and builds the software systems, Machine Learning-based risk evaluation systems, and operational processes that minimize risk and maximize trust in Amazon.com. The Buyer Abuse Prevention team is looking for a Business Analyst to work closely with its Machine Learning team.

As a Business Analyst, you will be responsible for modeling complex problems, analyzing terabytes of data to discover insights, and identifying opportunities through the use of business intelligence, data mining, and visualization techniques. You will need to collaborate effectively with ML scientists, internal stakeholders, and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools and analytical techniques to answer a wide range of high-impact business questions and present insights in a concise and effective manner. Additionally, the candidate 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 impact the bottom line of the business.

Key job responsibilities
- Work closely on high-impact cross-functional projects with internal stakeholders such as scientists and business partner teams and understand their requirements
- Perform data queries by retrieving and aggregating data from multiple sources using appropriate tools and scripting languages like SQL, Python, etc.
- Analyze complex customer trends to identify risk patterns and support scientists to build Machine Learning-based risk evaluation systems
- Execute projects by relying on strong understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning techniques, etc.)
- Draw insights and conclusions, create visualization of processed data, and identify trends and anomalies
- Effectively communicate complex methodologies and results to stakeholders and influence product strategy
- Design and develop efficient and scalable metrics and dashboards using SQL and Excel/Tableau/QuickSight

About the team
Our team consists of scientists and analysts as part of the Buyer Abuse Prevention (BAP) Machine Learning (ML) team. We develop, build, and own ML-based solutions for worldwide buyer abuse prevention. We collaborate closely across multiple functions (business, engineering, operations, etc.) to prevent buyers from abusing Amazon policies through various short- and long-term solutions.