Amazon. com Services LLC
Corporate Operations, Business Intel Engineer, no business category
BusinessIntelEngineerIIAMZ9443924
“Business Intel Engineer II - AMZ9443924 at Amazon. com Services LLC. Skills: Data science, Data engineering, Business intelligence. Manage metrics reporting. Perform mathematical and statistical modeling”
Industry & Context.
Transform complicated business problems into mathematics modeling
What They're Looking For.
Must Have
Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or related field and one year of experience, Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or related field and five years of progressive post-baccalaureate experience, one year of experience using SQL, ETL, one year of experience processing large, multi-dimensional datasets, one year of experience performing statistical analysis, one year of experience developing automated reporting
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
Manage metrics reporting
Perform mathematical and statistical modeling
Produce business forecasts
Research forecasting technologies
Design forecasting technologies
Develop forecasting technologies
Leverage data to support business functions
Utilize database technologies
Design business intelligence tools
Develop business intelligence tools
Evaluate business intelligence tools
Develop automated reports
Transform business problems into mathematics modeling
Provide data-driven solutions
Perform statistical analysis
Establish scalable processes for data analyses
Establish efficient processes for data analyses
Establish automated processes for data analyses
Establish scalable processes for model development
Establish efficient processes for model development
Establish automated processes for model development
Establish scalable processes for model validation
Establish efficient processes for model validation
Establish automated processes for model validation
Establish scalable processes for model implementation
Establish efficient processes for model implementation
Establish automated processes for model implementation
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