Amazon Web Services, Inc.
Corporate Operations, Planning/Development, no business category
BusinessAnalystII
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Analyst II at Amazon Web Services, Inc.. Skills: Data analysis, Mathematical modeling, Business intelligence, Statistical analysis. Manage metrics reporting. Perform data mining”
Industry & Context.
Transform complicated business problems into mathematics modeling
What They're Looking For.
Must Have
Bachelor's degree or foreign equivalent, one year of experience, using database technologies, including SQL, ETL, processing large, multi-dimensional datasets, Conducting custom data analysis using R, Python, developing automated reporting using advanced MS Excel, maintaining data integrity in databases, such as Redshift
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
Manage metrics reporting
Perform big data analysis
Provide strategic advice
Collect business use cases
Research opportunities
Evaluate opportunities
Analyze forecast data
Utilize database technologies
Design business intelligence tools
Develop business intelligence tools
Evaluate business intelligence tools
Design automated reports
Develop automated reports
Evaluate automated reports
Transform business problems
Provide data-driven solutions
Perform statistical analysis
Establish automated processes
Full Job Description
MULTIPLE POSITIONS AVAILABLE Employer: AMAZON WEB SERVICES, INC. Offered Position: Business Analyst II Job Location: Seattle, Washington Job Number: AMZ10118786 Position Responsibilities: 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. Position Requirements: 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): 1. using database technologies, including SQL, ETL or Oracle; 2. processing large, multi-dimensional datasets from multiple sources including Kibana, OBIEE, Datanet or equivalent data extraction tool; 3. Conducting custom data analysis to inform data driven decisions using tools such as R, Python, or Excel; 4. developing automated reporting using advanced MS Excel skills including but not limited to macros and erl
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