Business Analytics Manager, RBS Defect Reduction
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Drive Amazons defect elimination through AI-powered detection pipelines that scale coverage across millions of product returns translating data into upstream interventions that prevent defects before they reach customers.
Lead a team of Business Analysts and Business Intelligence Engineers to prototype ML models identifying defect patterns across product catalog customer returns and seller feedbackbuilding analytical frameworks that reduce investigation time and deliver measurable cost savings.
Key job responsibilities
Defect Detection & Root Cause Pipeline
Establish roadmap for scaling defect detection coverage and set KPIs for accuracy
Prototype ML/AI models to identify new defect patterns across product families
Build analytical frameworks that reduce investigation time and ensure auditability
Create self-service dashboards with data quality standards for detection accuracy
Team Development & Technical Leadership
Hire and develop specialists in pattern recognition and root cause analysis
Create technical growth paths from exploratory analysis to AI-powered classification
Establish best practices for analyzing large-scale returns data
Collaborate with engineering data and product teams to prioritize investigations and validate findings
Business Impact & Stakeholder Engagement
Present data-driven defect identification approaches in business reviews showing multi-million dollar cost saving opportunities
Influence senior leadership on prioritizing high-impact defect categories
Product Launch Support
Define requirements for defect identification tools from a returns reduction perspective
Create business requirement documents with success metrics and governance frameworks
Track and validate product performance metrics document ROI and monitor feature adoption
About the team
Our mission is to eliminate defects that cause customer returns improving the shopping experience while reducing costs across Amazons fulfillment network. We combine deep-dive analysis with innovative solutions to identify and prevent product issues before they reach customers.
We believe every return represents an opportunity to learn and improve. By understanding root causes and building scalable detection systems we transform reactive problem-solving into proactive defect preventioncreating lasting value for customers and the business.
- 5 years of business analyst data analyst or an equivalent role experience
- 3 years of direct management experience
- Bachelors degree in Finance Accounting Business Engineering or a related field
- Experience in management directly
- Experience in a business analyst data analyst or equivalent role
- Experience creating iterating and improving end-to-end global supply chains
- Experience delivering forecasting budgeting variance analysis and data interpretation of results
- Masters degree in Business Economics Statistics Engineering or a related field
- Knowledge of Six Sigma tools and Lean techniques
- Experience working with large-scale data mining and reporting tools (i.e. SQL MS Power Query Python)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Lead a team of Business Analysts and Business Intelligence Engineers to prototype ML models identifying defect patterns across product catalog customer returns and seller feedbackbuilding analytical frameworks that reduce investigation time and deliver measurable cost savings.
Key job responsibilities
Defect Detection & Root Cause Pipeline
Establish roadmap for scaling defect detection coverage and set KPIs for accuracy
Prototype ML/AI models to identify new defect patterns across product families
Build analytical frameworks that reduce investigation time and ensure auditability
Create self-service dashboards with data quality standards for detection accuracy
Team Development & Technical Leadership
Hire and develop specialists in pattern recognition and root cause analysis
Create technical growth paths from exploratory analysis to AI-powered classification
Establish best practices for analyzing large-scale returns data
Collaborate with engineering data and product teams to prioritize investigations and validate findings
Business Impact & Stakeholder Engagement
Present data-driven defect identification approaches in business reviews showing multi-million dollar cost saving opportunities
Influence senior leadership on prioritizing high-impact defect categories
Product Launch Support
Define requirements for defect identification tools from a returns reduction perspective
Create business requirement documents with success metrics and governance frameworks
Track and validate product performance metrics document ROI and monitor feature adoption
About the team
Our mission is to eliminate defects that cause customer returns improving the shopping experience while reducing costs across Amazons fulfillment network. We combine deep-dive analysis with innovative solutions to identify and prevent product issues before they reach customers.
We believe every return represents an opportunity to learn and improve. By understanding root causes and building scalable detection systems we transform reactive problem-solving into proactive defect preventioncreating lasting value for customers and the business.
- 5 years of business analyst data analyst or an equivalent role experience
- 3 years of direct management experience
- Bachelors degree in Finance Accounting Business Engineering or a related field
- Experience in management directly
- Experience in a business analyst data analyst or equivalent role
- Experience creating iterating and improving end-to-end global supply chains
- Experience delivering forecasting budgeting variance analysis and data interpretation of results
- Masters degree in Business Economics Statistics Engineering or a related field
- Knowledge of Six Sigma tools and Lean techniques
- Experience working with large-scale data mining and reporting tools (i.e. SQL MS Power Query Python)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Manager
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
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