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Business Intelligence Engineer II, Amazon Key
Amazon
H1B ✓On-sitemid levelPosted April 13, 2026
About the Role
The Business Intelligence Engineer will design and implement scalable data pipelines and models to support strategic business objectives and new product launches. They will collaborate cross-functionally to provide actionable insights, build dashboards, and implement AI-powered analytics tools to drive decision-making.
Requirements
Candidates must have at least 3 years of experience in data analysis, data modeling, and ETL pipeline development using tools like SQL, Python, and Redshift. Proficiency in data visualization tools and statistical analysis packages is required, along with foundational knowledge of Gen AI implementation.
Full Job Description
Amazon Key solve for access and critical security challenges with simple, smart solutions for ensuring delivery of packages to our customers. Customers have embraced Amazon Key to protect their deliveries. We are continuously improving and delighting our rapidly growing customer base.
We are actively looking for a passionate Business Intelligence Engineer to join our start-up team to help inform the direction of Amazon Key through data, at scale. Successful candidate will be comfortable creating and optimizing table structures, identifying KPIs that drive the business, generating reports for those KPIs that are consumed across the Key for Business organization, analyzing data to inform strategic and tactical initiatives, and writing up the findings from analyses for less-technical audiences. Strong SQL (any implementation) with foundational knowledge of Gen AI implementation is a must. Scripting skills, and background in operations is extremely valuable. This is a highly visible role that partners with business, product management, operations, and the technical team.
Key job responsibilities
- Support the organization's strategic business objectives, new product launches, process outcomes and decisions by analytical insights
- Collaborate with business leaders and users to optimize data-driven business processes
- Provide reliable, accurate, timely reporting for operations activities and leadership decision making
- Design and implement complex, scalable, and high-performance data pipelines and models
- Collaborate cross-functionally with technology teams, such as data engineers and Product Managers, to define and deliver BI solutions
- Build reports and dashboards using Amazon QuickSight
- Use advanced analytics techniques, such as statistical analysis and predictive modeling, to uncover hidden patterns, trends and opportunities
- Implement AI-powered self-service analytics tools
- Identify, evaluate, and implement automation opportunities, incl. AI technology; continuously enhance analytics while reducing manual effort
- Represent the BI function in business reviews and provide data-driven recommendations to business and process leaders
- Build GenAI compatible datasets and knowledge assets.
A day in the life
Daily activities for this role will include meeting with business and engineering partners to clearly define objectives and requirements and then translating that into actionable technical solutions. It will also include the design, development, and deployment of those solutions, using AI.
About the team
Amazon Key and Ring SMB solve for access and critical security challenges with simple, smart solutions. We are a uniquely cross-functional org within Amazon, and often serve as the connective tissue between Smart Home/Devices, Logistics, Operations, and Retail/Shopping across global markets. Our team indexes highly on ownership, collaboration, and delivering results for our customers. Basic Qualifications: - 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 Preferred Qualifications: - 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
We are actively looking for a passionate Business Intelligence Engineer to join our start-up team to help inform the direction of Amazon Key through data, at scale. Successful candidate will be comfortable creating and optimizing table structures, identifying KPIs that drive the business, generating reports for those KPIs that are consumed across the Key for Business organization, analyzing data to inform strategic and tactical initiatives, and writing up the findings from analyses for less-technical audiences. Strong SQL (any implementation) with foundational knowledge of Gen AI implementation is a must. Scripting skills, and background in operations is extremely valuable. This is a highly visible role that partners with business, product management, operations, and the technical team.
Key job responsibilities
- Support the organization's strategic business objectives, new product launches, process outcomes and decisions by analytical insights
- Collaborate with business leaders and users to optimize data-driven business processes
- Provide reliable, accurate, timely reporting for operations activities and leadership decision making
- Design and implement complex, scalable, and high-performance data pipelines and models
- Collaborate cross-functionally with technology teams, such as data engineers and Product Managers, to define and deliver BI solutions
- Build reports and dashboards using Amazon QuickSight
- Use advanced analytics techniques, such as statistical analysis and predictive modeling, to uncover hidden patterns, trends and opportunities
- Implement AI-powered self-service analytics tools
- Identify, evaluate, and implement automation opportunities, incl. AI technology; continuously enhance analytics while reducing manual effort
- Represent the BI function in business reviews and provide data-driven recommendations to business and process leaders
- Build GenAI compatible datasets and knowledge assets.
A day in the life
Daily activities for this role will include meeting with business and engineering partners to clearly define objectives and requirements and then translating that into actionable technical solutions. It will also include the design, development, and deployment of those solutions, using AI.
About the team
Amazon Key and Ring SMB solve for access and critical security challenges with simple, smart solutions. We are a uniquely cross-functional org within Amazon, and often serve as the connective tissue between Smart Home/Devices, Logistics, Operations, and Retail/Shopping across global markets. Our team indexes highly on ownership, collaboration, and delivering results for our customers. Basic Qualifications: - 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 Preferred Qualifications: - 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually