Business Intelligence Engineer II, Worldwide Installments
Business Intelligence Engineer II, Worldwide Installments
Posted on :
22-07-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
22-07-2025
Job Description
Come build the future of FinTech!
The WW Installments team within Amazon Payments (AP) brings together the best of analytics machine learning tech business and finance to deliver for customers across the world. We build the foundational systems and products to enable Amazon customers with installment and related payment methods across the globe. Our mission is to delight our customers by building payment experiences and financial services that are trusted valued and easy to use from anywhere in any way. Our products are growing rapidly and we are continuously adding new market-leading features and launching new customer facing ML solutions. Our team of high caliber engineers scientists developers and product managers use rigorous quantitative approaches to ensure that we target the right product to the right customer at the right moment managing tradeoffs between competitiveness click through rate approval rates customer friction economic profit and loss rates. We leverage the wealth of Amazons information to build a wide range of probabilistic models set up experiments that ensure that we are thriving to reach global optimums and leverage Amazons technological infrastructure to display the right offerings in real time. Our goal is to delight our customers with their purchasing experience and our solutions improve the shopping experience for hundreds of millions of consumers worldwide accordingly. Those of us who love to work with data see this as the pinnacle of opportunities within FinTech and the BNPL/Installment space that you cannot find anywhere else in the world.
As a BIE within WW Installments you will help advance our analytical capabilities and drive the roadmap for our key pillars. You should be passionate about working with huge datasets and be someone who loves to bring data together to answer business questions. You should have deep expertise in creation and management of datasets and the proven ability to translate the data into meaningful insights.
The right candidate will possess excellent business and communication skills transform ambiguous business problems to an analytical problem and prioritize work across the team to support business outcomes and develop solutions to key business questions.
Key job responsibilities
This role will be responsible for:
Applying your deep analytic and business skill to extract meaningful insights from large complicated datasets.
Own key executive reports and metrics that are consumed by our VPs and Directors.
Engage business stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data statistics and/or scripting.
Partner with fellow Business Intelligence Eningeers/Analysts to implement scalable automated infrastructure for data extraction processing computation and delivery.
Work closely with software engineering data engineering and product management to deliver features to customers.
Identifying new opportunities to influence business strategy and product vision using data.
Support fellow engineers and scientists to deliver analytical projects and build proof of concept applications.
Learn new technology and techniques to support product and process innovation.
Work through significant business and technical ambiguity delivering on analytics roadmap across the team with autonomy.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
The WW Installments team within Amazon Payments (AP) brings together the best of analytics machine learning tech business and finance to deliver for customers across the world. We build the foundational systems and products to enable Amazon customers with installment and related payment methods across the globe. Our mission is to delight our customers by building payment experiences and financial services that are trusted valued and easy to use from anywhere in any way. Our products are growing rapidly and we are continuously adding new market-leading features and launching new customer facing ML solutions. Our team of high caliber engineers scientists developers and product managers use rigorous quantitative approaches to ensure that we target the right product to the right customer at the right moment managing tradeoffs between competitiveness click through rate approval rates customer friction economic profit and loss rates. We leverage the wealth of Amazons information to build a wide range of probabilistic models set up experiments that ensure that we are thriving to reach global optimums and leverage Amazons technological infrastructure to display the right offerings in real time. Our goal is to delight our customers with their purchasing experience and our solutions improve the shopping experience for hundreds of millions of consumers worldwide accordingly. Those of us who love to work with data see this as the pinnacle of opportunities within FinTech and the BNPL/Installment space that you cannot find anywhere else in the world.
As a BIE within WW Installments you will help advance our analytical capabilities and drive the roadmap for our key pillars. You should be passionate about working with huge datasets and be someone who loves to bring data together to answer business questions. You should have deep expertise in creation and management of datasets and the proven ability to translate the data into meaningful insights.
The right candidate will possess excellent business and communication skills transform ambiguous business problems to an analytical problem and prioritize work across the team to support business outcomes and develop solutions to key business questions.
Key job responsibilities
This role will be responsible for:
Applying your deep analytic and business skill to extract meaningful insights from large complicated datasets.
Own key executive reports and metrics that are consumed by our VPs and Directors.
Engage business stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data statistics and/or scripting.
Partner with fellow Business Intelligence Eningeers/Analysts to implement scalable automated infrastructure for data extraction processing computation and delivery.
Work closely with software engineering data engineering and product management to deliver features to customers.
Identifying new opportunities to influence business strategy and product vision using data.
Support fellow engineers and scientists to deliver analytical projects and build proof of concept applications.
Learn new technology and techniques to support product and process innovation.
Work through significant business and technical ambiguity delivering on analytics roadmap across the team with autonomy.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Employment Type
Full-Time
Key Skills
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