Business Intelligence Engineer, WW Returns and ReCommerce
Business Intelligence Engineer, WW Returns and ReCommerce
Posted on :
07-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
At Amazon Worldwide Returns & ReCommerce (WW R&R) we aspire to zero: zero cost of returns zero waste and zero defects.
We are an agile innovative organization dedicated to making zero happen to benefit our customers company and environment. We are constantly innovating to create long-term value at Amazon by investing in the future and focusing on the planet not just on the bottom line. WW R&R includes business product program operational data and software engineering teams who together manage the lifecycle of returned and damaged products.
As a BIE on the Amazon Returns and ReCommerce Business Intelligence Team you will be collaborating with a seasoned group of Data Engineers and other BIEs to build solutions that are accurate reliable and accessible. As part of the R&R BI team you will have an opportunity to participate and innovate across the data engineering landscape starting from data ingestion storage processing and reporting. You will partner closely with business finance and product teams within the Returns ReCommerce and Sustainability organization to understand their data-needs and ensure business users are able to answer hard questions with real data. You will educate and train customers to self-serve data present data in new forms explore reporting options and innovate. You will participate in business reviews and new-initiatives. You should be able to identify and help close gaps in the information available as well as predict up-and-coming data-needs when participating in discussions about new products or features.
A successful BIE will be highly collaborative and organized capable of prioritizing multiple deliverables and effectively communicate progress and blockers. You should feel comfortable working across multiple data-sources and be capable of participating in and understanding how multiple systems communicate information to one-another.
We are a group that has fun at work cares about the impact of our products and is not just focused on the bottom line. Our growing team has the rare opportunity of directly impacting the sustainability of our planet by keeping tens of thousands of tons of products out of landfills every year. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established experienced team we offer the scope and support needed to achieve substantial career growth. Come join us and innovate with the WW Returns and ReCommerce BI Team!
- Owning the design development and maintenance of scalable solutions for ongoing metrics reports analyses dashboards etc. to support analytical and business needs.
- Translate basic business problem statements into analysis requirements.
- Use analytical and statistical rigor to answer business questions and drive business decisions.
- Find and create ways to measure the customer experience to drive business outcomes.
- Develop queries and visualizations for ad-hoc requests and projects as well as ongoing reporting.
- Write queries and output efficiently and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.
- Recognize and adopt best practices in reporting and analysis: data integrity design analysis validation and documentation.
- Troubleshoot operational data-quality issues.
- Review and audit existing ETL jobs and queries.
- Recommending improvements to back-end data sources for increased accuracy and simplicity.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience writing complex SQL queries
- 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are an agile innovative organization dedicated to making zero happen to benefit our customers company and environment. We are constantly innovating to create long-term value at Amazon by investing in the future and focusing on the planet not just on the bottom line. WW R&R includes business product program operational data and software engineering teams who together manage the lifecycle of returned and damaged products.
As a BIE on the Amazon Returns and ReCommerce Business Intelligence Team you will be collaborating with a seasoned group of Data Engineers and other BIEs to build solutions that are accurate reliable and accessible. As part of the R&R BI team you will have an opportunity to participate and innovate across the data engineering landscape starting from data ingestion storage processing and reporting. You will partner closely with business finance and product teams within the Returns ReCommerce and Sustainability organization to understand their data-needs and ensure business users are able to answer hard questions with real data. You will educate and train customers to self-serve data present data in new forms explore reporting options and innovate. You will participate in business reviews and new-initiatives. You should be able to identify and help close gaps in the information available as well as predict up-and-coming data-needs when participating in discussions about new products or features.
A successful BIE will be highly collaborative and organized capable of prioritizing multiple deliverables and effectively communicate progress and blockers. You should feel comfortable working across multiple data-sources and be capable of participating in and understanding how multiple systems communicate information to one-another.
We are a group that has fun at work cares about the impact of our products and is not just focused on the bottom line. Our growing team has the rare opportunity of directly impacting the sustainability of our planet by keeping tens of thousands of tons of products out of landfills every year. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established experienced team we offer the scope and support needed to achieve substantial career growth. Come join us and innovate with the WW Returns and ReCommerce BI Team!
- Owning the design development and maintenance of scalable solutions for ongoing metrics reports analyses dashboards etc. to support analytical and business needs.
- Translate basic business problem statements into analysis requirements.
- Use analytical and statistical rigor to answer business questions and drive business decisions.
- Find and create ways to measure the customer experience to drive business outcomes.
- Develop queries and visualizations for ad-hoc requests and projects as well as ongoing reporting.
- Write queries and output efficiently and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.
- Recognize and adopt best practices in reporting and analysis: data integrity design analysis validation and documentation.
- Troubleshoot operational data-quality issues.
- Review and audit existing ETL jobs and queries.
- Recommending improvements to back-end data sources for increased accuracy and simplicity.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience writing complex SQL queries
- 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
