Amazon.com Services LLC

Corporate Operations, Planning/Development, no business category

BusinessAnalystIII

$130–185k Santa Clara, California, United States FULL TIME
The Brief

“Business Analyst III at Amazon.com Services LLC. Skills: Data mining, Big data analysis, Mathematical modeling, Statistical analysis. Support senior management by managing metrics reporting. Perform data mining and big data analysis”

Industry & Context.

Corporate Operations, Planning/Development, no business category
Problems you'll solve

Transform complicated business problems into mathematics modeling; Provide data-driven solutions

What They're Looking For.

Must Have

Master's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience, Bachelor's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience, one year of experience in using database technologies, including SQL, ETL or processing large, multi-dimensional datasets, one year of experience in performing statistical analysis, one year of experience in developing automated reporting, one year of experience in maintaining data integrity

Nice to Have

All applicants must meet all the above listed requirements, PhD preferred, specific ML framework experience, cloud platform certs

What You'll Do.

Support senior management by managing metrics reporting

Perform data mining and big data analysis

Provide strategic advice on business forecast models

Collect business use cases

Research and evaluate opportunities to help Amazon leverage

Support business functions through complicated mathematical modeling

Analyze forecast and metrics data

Automate reports for promotional and project launch campaigns

Utilize database technologies

and evaluate business intelligence tools

Develop automated reports for campaign targeting and optimization

Transform complicated business problems into mathematics modeling

Provide data-driven solutions

Perform statistical analysis

cross-session and panel

automated processes for large scale

Establish automated processes for model development

Establish automated processes for model validation

Establish automated processes for model implementation

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