Business Intel Engineer II - AMZ22536.4
Amazon is hiring a Business Intel Engineer II - AMZ22536.4 in Seattle, United States. It pays $136k-$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.
- Tools and skills the posting cites include SQL, Redshift and S3.
- Level classifies it as a mid-level role.
- Level lists 20,000+ other open roles at Amazon.
- The role was posted within the past two weeks.
AI in this role
Design business intelligence architectures and predictive models integrating GenAI/ML for executive leadership talent decisions.
Position: Business Intel Engineer II - AMZ22536.4
Location: Seattle, WA
Multiple Positions Available:
To support senior management by designing and maintaining complex
business intelligence architectures driving critical talent decisions for
Amazon's executive leadership. Research, design, and develop
advanced predictive models enabling data-driven succession planning,
talent mobility optimization, and hiring quality assessment. Utilize
database technologies including SQL, ETL, Redshift, S3, AWS Aurora
and Glue to build QuickSight dashboards and automated data
pipelines integrating talent data from multiple sources. Perform
sophisticated statistical analysis including clustering, regression, and
panel data modeling using R, SAS, STATA, and SPSS to identify
succession planning patterns and develop predictive models for
attrition risk and hiring quality. Establish scalable, automated
processes for large-scale data analyses, model development, and
implementation. Work on cutting-edge GenAI/ML integration for
proactive analytics, developing talent recommendations and insights
that help de-risk global recruiting decisions.
(40 hours / week, 8:00am-5:00pm, Salary Range $136488 - $160000)
Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
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Basic qualifications
Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and six months of experience in the job offered, or as a Data
Engineer, Data Analyst, or a related occupation. Must have at least 6 months of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets
from multiple sources; performing statistical analysis; and developing automated reporting.
The pay range for this position in Seattle, WA is $136488 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
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Preferred qualifications
All applicants must meet all the above listed requirements.
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.
How we rate this
Business Intel Engineer II - AMZ22536.4 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.
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 predictive modeling was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where statistical analysis was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Business Intelligence, Predictive Modeling, ETL, Statistical Analysis, and Generative AI. 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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