✦ Luna Orbit — Data & Analytics

Business Intel Engineer II - AMZ9802488

at Amazon.com

📍 US, IL, Chicago Unknown 💰 $112K – $112K USD / year Posted March 13, 2026
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Position Details

Salary $112K – $112K USD / year
Type Full-Time
Experience mid
Exp. Years 1+ years
Education Master's in Computer Science, Engineering, Mathematics, Statistics, Economics, or related field or Bachelor's with 5 years experience
Category Data & Analytics

About this role

This role involves supporting business intelligence through metrics reporting, mathematical modeling, and statistical analysis to enable data-driven decision making within Amazon's Chicago operations.

Key Responsibilities

  • Manage metrics reporting
  • Develop mathematical models
  • Perform statistical analysis
  • Create automated reports
  • Support data-driven decision making

Technical Overview

The environment includes SQL, ETL, Oracle, R, SAS, and SPSS for data analysis, modeling, and reporting, focusing on large datasets and complex statistical techniques.

Ideal Candidate

The ideal candidate is a mid-level data analyst or engineer with experience in statistical modeling, data analysis, and automated reporting, proficient in SQL, R, SAS, and other analytical tools, capable of transforming complex data into actionable insights.

Must-Have Skills

Metrics reportingMathematical modelingStatistical analysisSQLETLOracleAutomated reporting

Nice-to-Have Skills

ClusteringRegression analysisRSASSTATASPSS

Tools & Platforms

SQLETLOracleRSASSTATASPSS

Required Skills

Metrics reportingMathematical modelingStatistical analysisSQLETLOracleAutomated reporting

Hard Skills

Metrics reportingMathematical modelingStatistical analysisForecasting technologiesSQLETLOracleData analysisClusteringRegressionRSASSTATASPSSData processingAutomated reporting

Soft Skills

Analytical thinkingProblem-solvingCommunicationDetail-orientedTeamwork

Industry & Role

Industry E-commerce / Data Science
Job Function Business intelligence and data analysis for Amazon Chicago
Role Subtype Data & Analytics
Tech Domains SQL / PostgreSQL, Oracle, R, SAS, SPSS

Keywords for Your Resume

Metrics reportingMathematical modelingStatistical analysisForecasting technologiesSQLETLOracleData analysisClusteringRegressionRSASSTATASPSSData processingAutomated reporting

Deal Breakers

Lack of experience with statistical analysis tools, No proficiency in SQL or data processing tools, Inability to develop automated reports, No experience with large datasets

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