Business Intelligence Engineer II, Alexa Devices Business Insights

Amazon is hiring a Business Intelligence Engineer II, Alexa Devices Business Insights for a remote role open to applicants in United States. It pays $100k-$160k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
The posting lists this role as remote.
Tools and skills the posting cites include Tableau, Quicksight and Redshift.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Build and maintain large-scale reporting objects, ETL pipelines, and dashboards for Alexa devices forecasting and business insights.

tableauquicksightredshiftnosql

etldata-modelingbusiness-intelligencesqldata-visualization

The Business Intelligence Engineer will be part of a high-visibility, growth in a dynamic, entrepreneurial analytics team. We are seeking an exceptionally talented and deeply focused BI Engineer with analytical skills who will build some of the largest reporting objects in Devices Forecasting space, contribute to business outcomes by analytics while also providing engineering services to our managed and centralized Tableau and AWS QuickSight dashboards. This is a unique early-stage opportunity to build the largest Amazon Devices BI environments of present day. The role holder will build their know-how rapidly and thrive in Amazon's fast-paced, Day 1 culture.

Key job responsibilities
You know and love solving problems using data, working with business intelligence tools, can build ETL pipelines, support statistical models using multidimensional data sets and can partner with business owners to answer key questions. You are analytical, innovative, creative, disruptive, and you don’t give up. As part of Alexa devices BI team you will work with both structured and unstructured datasets while using a combination of AWS and internal amazon tools.

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, etc. to drive key business decisions.
3. Build and maintain Tableau or Quicksight Dashboards. Create data cubes and automated pipelines to power these dashboards.
4. Help product teams with analytical deep dives to help support MBRs.

About the team
The primary purpose of the Alexa devices business insights team is to drive understanding of Alexa customers’ behaviors and to connect the dots from multiple data sources to unlock opportunities that drive both forward-looking product and feature roadmap, drive new customer acquisition, and increase customer engagement. By focusing on the three core principles of 1) harnessing data, 2) applying analytics, and 3) interpreting insights, this team will provide the devices org with deep product actionable discernment that will scale to achieve sustained competitive advantage.

Basic qualifications

- 4+ 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
USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually

How we rate this

Business Intelligence Engineer II, Alexa Devices Business Insights at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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.

Key facts

Business Intelligence Engineer II, Alexa Devices Business Insights is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $100k-$160k a year.
The role is based in US, WA, Bellevue and is marked remote.
The job was posted on June 22, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ETLData ModelingBusiness IntelligenceSQLData VisualizationTableauQuicksightRedshift

Questions you could be asked

Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data modeling was part of your work. What did you do?
Tell me about a project where business intelligence 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 data visualization was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ETL, Data Modeling, Business Intelligence, SQL, and Data Visualization. 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.

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