Business Analyst II - AMZ2025
MULTIPLE POSITIONS AVAILABLE
Company: Amazon Corporate LLC, an Amazon.com company
Position Title: Business Analyst II
Location: Seattle, Washington
Support senior management by managing metrics reporting and performing data mining and big data analysis to provide strategic advice on business forecast models. Collect business use cases, research and evaluate opportunities to help Amazon leverage its data to support business functions through complicated mathematical modeling. Analyze forecast and metrics data. Automate reports for promotional and project launch campaigns. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
Master's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related quantitative field and one year of experience in the job offered or as a Business Analyst, Business Intelligence Engineer, Data Engineer, Data Miner or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related quantitative field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. One year of experience in the job offered or a related occupation must involve: using database technologies, including SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources including Kibana, OBIEE, Datanet or similar data extraction tool; performing statistical analysis and workforce optimization using workforce management systems including EWFM, IEX, SPSS, or Aspect – Forecasting; developing automated reporting using advanced MS excel skills including macros; and maintaining data integrity to assure input/output accuracy in various databases including HRBI, HRIS, eWFM or GACD Systems.
Applicants must meet all of the above listed requirements for this position.
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