AmazonBusiness Intelligence Engineer, Consumables Insights and Analytics
Amazon is hiring a Business Intelligence Engineer, Consumables Insights and Analytics in Seattle, United States. It pays $100k-$160k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions BI Tools, business intelligence and data analytics among its tools and skills.
- Level classes it as a senior role.
- Amazon has 21,000+ other open roles on Level.
- Posted within the past two weeks.
AI in this role
Business Intelligence Engineer to architect analytics transformation through AI innovation and deliver complex BI solutions for Amazon Consumables.
The Business Intelligence Engineer (BIE) is an innovative, results driven professional that executes continuous improvement through data-driven actions. The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-Category, Technology, and Operations partnerships. This role will impact and inform how Amazon executes Consumables businesses across the NA Store. The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams. Great communication skills, ability to think big and influence cross Amazon teams and high ownership to deliver successful results will be essential.
Key job responsibilities
- Design complex BI solutions solving problems across Amazon Consumables business, delivering strategic insights with complete independence
- Lead cross-functional initiatives spanning North America Stores, influencing broader tech roadmaps and establishing CIA as a center of excellence
- Create executive-level reporting frameworks and deep-dive analysis tools that enable data-driven decision making across the Consumables ecosystem
- Architect the team's analytics ecosystem transformation through AI innovation, delivering enhanced productivity, intelligent self-service capabilities, and faster business decisions
- Design robust, extensible BI solutions setting the standard for technical excellence with focus on scalability, cost-efficiency, and operational leverage
- Create process optimization tools that challenge existing workflows and drive more scalable execution across category operations
- Develop comprehensive intelligence roadmaps addressing automation, scale, and productivity across the consumables value chain
- Build insights-oriented solutions enhancing workflows for category leaders, vendor managers, finance partners, and stakeholder teams
- Establish knowledge repositories and analytical frameworks supporting CIA's mission and broader organizational use
- Mentor team members and lead technical assessments supporting growth objectives
- Drive organizational best practices and frameworks that align teams toward coherent, scalable analytics approaches while maintaining stakeholder transparency
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
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Bachelor's degree
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, Seattle - 99,500.00 - 160,000.00 USD annually
How we rate this
Business Intelligence Engineer, Consumables Insights and Analytics at Amazon rates 62 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where ai innovation was part of your work. What did you do?
- Tell me about a project where process optimization was part of your work. What did you do?
- Walk me through how you've used BI Tools in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Business Intelligence, Data Analytics, AI Innovation, Process Optimization, and BI Tools. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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