Amazon.com

Business Analyst II - AMZ26516.2

Amazon.com
US San Francisco, CA, US
Onsite 2026-06-21
Announced salary
$104k–$143k
Market rate in San Francisco : $99K - $184K (median $137K) · BLS OEWS 2025

Job description

**DESCRIPTION** --------------- Employer: Amazon.com Services LLC Position: Business Analyst II \- AMZ26516\.2 Location: San Francisco, CA Multiple Positions Available: 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. (40 hours / week, 8:00am\-5:00pm, Salary Range $103522 \- $143100\) Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation **BASIC QUALIFICATIONS** ------------------------ Bachelor's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related 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. Must have one year of experience in the following skill(s): using database technologies, including SQL, ETL or Oracle; processing large, multi\-dimensional datasets from multiple sources including Kibana, OBIEE, D

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