Business Intel Engineer II - AMZ22536.4

Amazon Inc.; Seattle (WA); Presencial; USD 136.000 - 160.000; Jornada completa

Descripción de la vacante

Amazon.com Services LLC is seeking a Business Intel Engineer II in Seattle to design and maintain advanced BI architectures supporting executive talent decisions. You will research and develop predictive models for succession planning, mobility, and hiring quality, leveraging SQL, ETL, Redshift, S3, AWS Glue, and QuickSight.

The role involves sophisticated statistical analyses (R/SAS/SPSS) on multi-source data, building scalable pipelines, and exploring GenAI/ML integrations to de-risk global

Formación

• 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.
• Experience using SQL, ETL or Oracle; processing large, multi-source datasets; developing automated reporting.

Responsabilidades

• Design and maintain complex BI architectures to support talent decisions for Amazon's leadership.
• Research and develop predictive models for succession planning, mobility, and hiring quality.
• Build dashboards in QuickSight and automated data pipelines using AWS services.
• Perform advanced statistical analyses (clustering, regression) on large data sets.

Conocimientos

SQL

ETL

Statistical analysis

R

SAS

SPSS

Stata

Educación

Master's degree in CS/Engineering/Math/Statistics/Economics

Herramientas

Redshift

S3

AWS Glue

QuickSight

Descripción del empleo

Description

Employer: Amazon.com Services LLC

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 – Aff…

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.

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.