Business Intel Engineer, Amazon Pharmacy
Business Intel Engineer, Amazon Pharmacy
Posted on :
13-06-2025
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1 Vacancy
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Job Description
At Amazon Pharmacy you will have the opportunity to make a tangible impact on both the company as well as the quality of our customers lives. We have a variety of roles of differing scope available across several teams and would love the opportunity to help you learn more about whats available. Join our team and help create the future of medicine.
We are looking for a Business Intelligence Engineer to join our team. Working closely with partners from Product Marketing Finance Engineering and Operations you will develop reporting and insights solutions for the teams data and econometric models.
Responsibilities
You know and love solving problems using data working with business intelligence tools can build ETL pipelines statistical models using multidimensional data sets and can partner with business owners to answer key questions. You are analytical innovative creative disruptive and you dont give up. In this role you will have an opportunity to launch new features in our data lake from scratch add new products to our inventory influence targeting strategy for our products implement end to end reporting solutions and support product managers in their day to day testing and business needs.
You will also have the opportunity to display your skills in the following areas:
1. Interface with product managers data engineers and software developers gather requirements and deliver complete analytics/reporting solutions.
2. Own the design development and maintenance of datasets metrics reports analyses dashboards etc. to drive key business decisions.
3. Make recommendations for new metrics techniques and strategies to improve campaign targeting and measurement.
4. Improve Amazon Pharmacys capabilities/products and help business owners uncover hidden opportunities using data analytics and machine learning.
5. Provide ad-hoc and automated access to large data sets.
6. Understand business and product strategies goals and objectives. Set the analytics roadmap to drive the goals of the business.
7. Own the analytics for one or more product areas lead planning execution and delivery of projects for that area(s) manage stakeholders and internal customer/client needs/requests
Key job responsibilities
1. Partner with Pharmacy business tech and data science leadership to define and deliver a world-class data infrastructure supporting Amazon Pharmacys continued growth and our mission to be Earths Best Pharmacy.
2. Architect scalable and resilient data solutions for real time and batch processing. Build self-service business intelligence infrastructure for Amazon Pharmacy analytics users
3. Work with BIEs/SDEs/other DEs to invent design and build data solutions that are stable and performant.
4. Help your team evolve by actively participating in the code review process design discussions team planning and ticket/metric/COE reviews
About the team
We accelerate business insights and data-driven innovation by providing trustworthy intuitive on-time and cost-efficient analytics and data engineering solutions. To accomplish our vision:
1. We provide data warehousing solutions for the undifferentiated heavy lifting that Amazon Pharmacy teams must engage in to work with data.
2. We identify and capitalize on opportunities for privacy and security improvements cost reduction and greater organizational efficiency
3. we continuously look ahead to identify common patterns in analytics and pave the road for Amazon Pharmacy teams to quickly and easily solve business objectives and derive insights from data using native AWS solutions wherever possible and finally
4. we surface key performance indicators for product and process improvements spanning across various pharmacy departments.
- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- 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
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience working with PHI/PII healthcare data and reporting.
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 looking for a Business Intelligence Engineer to join our team. Working closely with partners from Product Marketing Finance Engineering and Operations you will develop reporting and insights solutions for the teams data and econometric models.
Responsibilities
You know and love solving problems using data working with business intelligence tools can build ETL pipelines statistical models using multidimensional data sets and can partner with business owners to answer key questions. You are analytical innovative creative disruptive and you dont give up. In this role you will have an opportunity to launch new features in our data lake from scratch add new products to our inventory influence targeting strategy for our products implement end to end reporting solutions and support product managers in their day to day testing and business needs.
You will also have the opportunity to display your skills in the following areas:
1. Interface with product managers data engineers and software developers gather requirements and deliver complete analytics/reporting solutions.
2. Own the design development and maintenance of datasets metrics reports analyses dashboards etc. to drive key business decisions.
3. Make recommendations for new metrics techniques and strategies to improve campaign targeting and measurement.
4. Improve Amazon Pharmacys capabilities/products and help business owners uncover hidden opportunities using data analytics and machine learning.
5. Provide ad-hoc and automated access to large data sets.
6. Understand business and product strategies goals and objectives. Set the analytics roadmap to drive the goals of the business.
7. Own the analytics for one or more product areas lead planning execution and delivery of projects for that area(s) manage stakeholders and internal customer/client needs/requests
Key job responsibilities
1. Partner with Pharmacy business tech and data science leadership to define and deliver a world-class data infrastructure supporting Amazon Pharmacys continued growth and our mission to be Earths Best Pharmacy.
2. Architect scalable and resilient data solutions for real time and batch processing. Build self-service business intelligence infrastructure for Amazon Pharmacy analytics users
3. Work with BIEs/SDEs/other DEs to invent design and build data solutions that are stable and performant.
4. Help your team evolve by actively participating in the code review process design discussions team planning and ticket/metric/COE reviews
About the team
We accelerate business insights and data-driven innovation by providing trustworthy intuitive on-time and cost-efficient analytics and data engineering solutions. To accomplish our vision:
1. We provide data warehousing solutions for the undifferentiated heavy lifting that Amazon Pharmacy teams must engage in to work with data.
2. We identify and capitalize on opportunities for privacy and security improvements cost reduction and greater organizational efficiency
3. we continuously look ahead to identify common patterns in analytics and pave the road for Amazon Pharmacy teams to quickly and easily solve business objectives and derive insights from data using native AWS solutions wherever possible and finally
4. we surface key performance indicators for product and process improvements spanning across various pharmacy departments.
- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- 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
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience working with PHI/PII healthcare data and reporting.
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
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