✦ Luna Orbit — Data & Analytics

Senior Material Engineer, Data Center Mechanical Solutions

at Amazon.com

📍 US, WA, Seattle Unknown Posted March 14, 2026
Type Not Specified
Experience senior
Exp. Years 1+ years
Education Master's degree or Bachelor's with 5 years experience
Category Data & Analytics

This role involves managing metrics reporting, performing statistical modeling, and developing business intelligence tools to support Amazon's data-driven decision-making processes.

  • Manage metrics reporting
  • Perform mathematical and statistical modeling
  • Develop forecasting technologies
  • Design and evaluate business intelligence tools
  • Automate large-scale data analyses

The technical environment includes SQL, ETL, Oracle, R, SAS, STATA, and SPSS, with a focus on large-scale data analysis, statistical modeling, and automation.

The ideal candidate is a senior data analyst or data scientist with strong skills in SQL, statistical analysis, and automated reporting, experienced in processing large datasets and performing complex modeling to support business forecasting.

using SQLETLor Oracleprocessing large datasetsperforming statistical analysisdeveloping automated reports
data miningbusiness forecastingmathematical modelingdata visualization
SQLETLOracleRSASSTATASPSS
using SQLETLor Oracle; processing large datasets; performing statistical analysis; developing automated reports
SQLETLOraclePythonRSASSTATASPSSMathematicsStatistical modelingData analysisData engineering
analytical thinkingproblem-solvingcommunicationcollaborationdetail-oriented
Industry Technology
Job Function Data analysis and business intelligence engineering
Role Subtype Data Scientist
Tech Domains SQL / PostgreSQL, Oracle, Python, R, SAS, SPSS
data analysisSQLETLOraclePythonRSASSTATASPSSstatisticsmathematical modelingdata miningbusiness forecastingautomated reportslarge datasetsdata engineeringstatistical analysisautomated reporting

Lack of experience with SQL or Oracle, No experience in statistical analysis, Inability to process large datasets, No experience with automated reporting

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