Business Intelligence Engineer Co-Op â 2026 (US)
Business Intelligence Engineer Co-Op â 2026 (US)
Posted on :
29-08-2025
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1 Vacancy
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Job Description
Amazon co-ops across all seasons are full-time positions and interns should expect to work in office Monday-Friday up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Students should not have conflicts such as classes or other employment during the Amazon work-day.
Applicants must be currently enrolled in a co-op program at their school in the US and should have a minimum of one quarter/semester/trimester remaining in their studies after their co-op concludes. By applying to this position your application will be considered for all Business Intelligence Engineer roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle Bellevue Redmond) Greater Bay Area (San Francisco Sunnyvale Santa Clara) Greater DMV (DC MD VA) Austin (TX) New York City (NY) Minneapolis (MN).
You will be able to provide your preference of location and start date during the application process but we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.
Start dates for our co-ops in this posting include the following periods:
(Starts January/February 2026)
(Starts August/September 2026)
Do you enjoy translating data into actionable insights Are you excited by the opportunity to troubleshoot features and products at the worlds most customer-centric company Are you passionate about mining data developing models using statistical and visualization techniques and helping leaders make data-driven decisions Do you want to be a part of a fast-paced ambiguous environment and contribute to one of the most visited sites on the Internet
If this describes you consider joining us for a co-op. Amazon is looking for a Business Intelligence Engineer Co-op to join one of our many lines of business. Amazon co-ops have the opportunity to work alongside the industrys brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission-critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.
Key job responsibilities
During a Business Intelligence Engineer Co-op you will/may:
Build small- to mid-size business intelligence (BI) solutions data sets queries reports dashboards analyses or components of larger solutions to answer business questions with data.
Use well-defined requirements to build a solution that enables effective data-driven business decisions. Deliver end product on schedule.
Create and populate data structures using one or more schema definition languages (e.g. DDL SDL XSD RDF).
Write secure stable testable and maintainable code with minimal defects and automate manual processes where possible.
Use one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and as needed statistical methods (e.g. t-test Chi-squared) to deliver actionable insights to stakeholders.
Invent refine and develop BI solutions to ensure they meet the needs of the business and team goals.
Troubleshoot data analyses and code research root causes propose solutions and take ownership in next steps for their resolutions.
A day in the life
Our internship program provides hands-on learning and building experiences for students who are interested in a career in business intelligence addition to working on an impactful project you will have the opportunity to engage with Amazonians for both personal and professional development expand your network and participate in fun activities with other interns throughout the summer. No matter the location of your internship we give you the tools to own your internship and learn in a real-world setting.
- Are 18 years of age or older
- Are enrolled in a academic program that is physically located in the United States
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Are enrolled in a co-op program at your university
- Experience with data querying or modeling with SQL
- Experience with building and maintain basic data artifacts (e.g. ETL data models queries)
- Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. t-test Chi-squared)
- Currently working towards a Bachelors Degree in Statistics Business Analytics Data Analytics Data Science Computer Science or other equivalent discipline with an expected conferral date between October 2026 December 2029.
- Experience with scripting language (e.g. Python Java or R)
- Knowledge of data modeling and data pipeline design
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed cost reliability)
- Enrolled in a Masters Degree or advanced technical degree with an expected conferral date between October 2026 December 2029.
- Previous technical internship(s) if applicable.
- Ability to deal with ambiguity in a fast-paced environment.
- Excellent verbal/written communication skills and data presentation skills.
- Strong analytical skills.
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 $35.63/hr in our lowest geographic market up to $79.62/hr 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.
Applicants must be currently enrolled in a co-op program at their school in the US and should have a minimum of one quarter/semester/trimester remaining in their studies after their co-op concludes. By applying to this position your application will be considered for all Business Intelligence Engineer roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle Bellevue Redmond) Greater Bay Area (San Francisco Sunnyvale Santa Clara) Greater DMV (DC MD VA) Austin (TX) New York City (NY) Minneapolis (MN).
You will be able to provide your preference of location and start date during the application process but we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.
Start dates for our co-ops in this posting include the following periods:
(Starts January/February 2026)
(Starts August/September 2026)
Do you enjoy translating data into actionable insights Are you excited by the opportunity to troubleshoot features and products at the worlds most customer-centric company Are you passionate about mining data developing models using statistical and visualization techniques and helping leaders make data-driven decisions Do you want to be a part of a fast-paced ambiguous environment and contribute to one of the most visited sites on the Internet
If this describes you consider joining us for a co-op. Amazon is looking for a Business Intelligence Engineer Co-op to join one of our many lines of business. Amazon co-ops have the opportunity to work alongside the industrys brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission-critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.
Key job responsibilities
During a Business Intelligence Engineer Co-op you will/may:
Build small- to mid-size business intelligence (BI) solutions data sets queries reports dashboards analyses or components of larger solutions to answer business questions with data.
Use well-defined requirements to build a solution that enables effective data-driven business decisions. Deliver end product on schedule.
Create and populate data structures using one or more schema definition languages (e.g. DDL SDL XSD RDF).
Write secure stable testable and maintainable code with minimal defects and automate manual processes where possible.
Use one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and as needed statistical methods (e.g. t-test Chi-squared) to deliver actionable insights to stakeholders.
Invent refine and develop BI solutions to ensure they meet the needs of the business and team goals.
Troubleshoot data analyses and code research root causes propose solutions and take ownership in next steps for their resolutions.
A day in the life
Our internship program provides hands-on learning and building experiences for students who are interested in a career in business intelligence addition to working on an impactful project you will have the opportunity to engage with Amazonians for both personal and professional development expand your network and participate in fun activities with other interns throughout the summer. No matter the location of your internship we give you the tools to own your internship and learn in a real-world setting.
- Are 18 years of age or older
- Are enrolled in a academic program that is physically located in the United States
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Are enrolled in a co-op program at your university
- Experience with data querying or modeling with SQL
- Experience with building and maintain basic data artifacts (e.g. ETL data models queries)
- Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. t-test Chi-squared)
- Currently working towards a Bachelors Degree in Statistics Business Analytics Data Analytics Data Science Computer Science or other equivalent discipline with an expected conferral date between October 2026 December 2029.
- Experience with scripting language (e.g. Python Java or R)
- Knowledge of data modeling and data pipeline design
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed cost reliability)
- Enrolled in a Masters Degree or advanced technical degree with an expected conferral date between October 2026 December 2029.
- Previous technical internship(s) if applicable.
- Ability to deal with ambiguity in a fast-paced environment.
- Excellent verbal/written communication skills and data presentation skills.
- Strong analytical skills.
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 $35.63/hr in our lowest geographic market up to $79.62/hr 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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