Business Analyst II
Business Analyst II
Posted on :
06-05-2025
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1 Vacancy
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Job Description
Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of ecommerce 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
Our mission in Buyer Risk Prevention is to make Amazon the safest place to transact online. Buyer Risk Prevention safeguards every financial transaction across all Amazon sites while striving to ensure that these efforts are transparent to our legitimate customers. As such Buyer Risk Prevention designs and builds the software systems risk models and operational processes that minimize risk and maximize trust in .
As a Business Analyst in Buyer Risk Prevention you will be responsible for analyzing terabytes of data to identify specific instances of risk broader risk trends and points of customer friction developing scalable solutions for prevention. You will need to collaborate effectively with business and product leaders within BRP and crossfunctional teams to solve problems create operational efficiencies and deliver successfully against high organizational standards. You should be able to apply a breadth of tools data sources and analytical techniques to answer a wide range of highimpact business questions and proactively present new insights in concise and effective manner. In addition you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities.
You should be an effective communicator capable of independently driving issues to resolution and communicating insights to nontechnical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.
Responsibilities:
Understand the various operations across Payment Risk
Design and develop highly available dashboards and metrics using SQL and Excel/Tableau
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
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
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
Key job responsibilities
Understand the various operations across Payment Risk
Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight
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 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
Execute analytical projects and understanding of analytical methods (like ANOVA Distribution theory regression forecasting Machine Learning Techniques etc.)
Bachelors degree in finance accounting business economics engineering analytics mathematics statistics or a related technical or quantitative field
3 years of business analyst data analyst or similar role experience
5 years of Excel (including VBA pivot tables array functions power pivots etc.) and data visualization tools such as Tableau experience
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
Experience with data visualization using Tableau Quicksight or similar tools
Experience creating complex SQL queries joining multiple datasets ETL DW concepts
Experience demonstrating problem solving and root cause analysis
Experience using databases with a largescale data set
Detailoriented 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
Experience in Amazon Redshift and other AWS technologies
Experience scripting for automation (e.g. Python Perl Ruby)
Experience using Python or R for data analysis or statistical tools such as SAS
Experience in ecommerce / online companies in fraud / risk control functions
Analytical mindset and ability to see the big picture and influence others
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 is required
Ability to work effectively in a multitask high volume environment
Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations
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.
Our mission in Buyer Risk Prevention is to make Amazon the safest place to transact online. Buyer Risk Prevention safeguards every financial transaction across all Amazon sites while striving to ensure that these efforts are transparent to our legitimate customers. As such Buyer Risk Prevention designs and builds the software systems risk models and operational processes that minimize risk and maximize trust in .
As a Business Analyst in Buyer Risk Prevention you will be responsible for analyzing terabytes of data to identify specific instances of risk broader risk trends and points of customer friction developing scalable solutions for prevention. You will need to collaborate effectively with business and product leaders within BRP and crossfunctional teams to solve problems create operational efficiencies and deliver successfully against high organizational standards. You should be able to apply a breadth of tools data sources and analytical techniques to answer a wide range of highimpact business questions and proactively present new insights in concise and effective manner. In addition you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities.
You should be an effective communicator capable of independently driving issues to resolution and communicating insights to nontechnical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.
Responsibilities:
Understand the various operations across Payment Risk
Design and develop highly available dashboards and metrics using SQL and Excel/Tableau
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
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
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
Key job responsibilities
Understand the various operations across Payment Risk
Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight
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 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
Execute analytical projects and understanding of analytical methods (like ANOVA Distribution theory regression forecasting Machine Learning Techniques etc.)
Bachelors degree in finance accounting business economics engineering analytics mathematics statistics or a related technical or quantitative field
3 years of business analyst data analyst or similar role experience
5 years of Excel (including VBA pivot tables array functions power pivots etc.) and data visualization tools such as Tableau experience
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
Experience with data visualization using Tableau Quicksight or similar tools
Experience creating complex SQL queries joining multiple datasets ETL DW concepts
Experience demonstrating problem solving and root cause analysis
Experience using databases with a largescale data set
Detailoriented 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
Experience in Amazon Redshift and other AWS technologies
Experience scripting for automation (e.g. Python Perl Ruby)
Experience using Python or R for data analysis or statistical tools such as SAS
Experience in ecommerce / online companies in fraud / risk control functions
Analytical mindset and ability to see the big picture and influence others
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 is required
Ability to work effectively in a multitask high volume environment
Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations
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:
IC
Employment Type
Full-Time
Key Skills
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