BIE I - FBA Analytics, FBA Analytics

Amazon is hiring a BIE I - FBA Analytics, FBA Analytics in Bellevue, United States. It pays $82k-$144k a year and Level rates it ; you can apply on Level.

AI in this role

Build analytics, KPIs, dashboards, and AI workflows to optimize the FBA inbound supply chain using machine learning and statistical techniques.

redshiftoraclenosqltableauquicksightexcelpowerbi

business-intelligencedata-analysismachine-learningsqlstatistics

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Multiple Sellers in various countries ship billions of products for sale on the Amazon Marketplace. To meet our sellers’ needs, we are constantly innovating and building on new ideas. Fulfillment by Amazon (FBA) analytics and data science team partners with product team to optimize inbound supply chain by influencing right tradeoffs among cost, speed and network capacity utilization.

FBA Analytics team is looking for an individual with excellent analysis and statistical skills, deep knowledge of business intelligence solutions, and the ability to work with product development, and business teams. The successful candidate will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail. In this critical role, you'll partner with business leaders to develop analytical methods, KPIs & dashboards, and build AI workflows to empower business with data-driven strategic decisions. In this critical role, you'll partner with business leaders to develop analytical methods, KPIs & dashboards, and build AI workflows to empower business with data-driven strategic decisions.

Key job responsibilities
- Develop business metrics and analysis to inform product strategy and influence key strategic initiatives.
- Develop clear communications for recommended actions.
- Establish self-service automated reporting processes for tracking and diving deep into the data.
- Partner with data engineers to establish new data pipelines and document logic for business metrics.
- Use machine learning and statistical techniques to infer impact of product and policy decisions on business outcomes.

About the team
- Work on high-impact, high-visibility projects that drive the experience for millions of customers.
- The opportunity to use and learn state-of-the-art data management solutions.
- Excellent opportunities, and ample support, for career growth, development, and mentor-ship.
- Competitive compensation, including relocation support.

Basic qualifications

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- 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)

Preferred qualifications

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- Experience with scripting language (e.g., Python, Java, or R)

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 - 82,300.00 - 144,000.00 USD annually

How we rate this

BIE I - FBA Analytics, FBA Analytics at Amazon rates 65 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.

Classification

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. Open the description and count.

Key facts

BIE I - FBA Analytics, FBA Analytics is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $82k-$144k a year.
The role is based in US, WA, Bellevue.
The job was posted on October 8, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Business IntelligenceData AnalysisMachine learningSQLStatisticsRedshiftOracleNosql

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 analysis was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where sql was part of your work. What did you do?
Tell me about a project where statistics was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Business Intelligence, Data Analysis, Machine learning, SQL, and Statistics. 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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