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Bop LLC in New York is seeking a Business Analyst II to drive data-driven decisions through advanced analytics and reporting. You will collect use cases, perform data mining, and create models to forecast business performance, while building scalable BI solutions that automate reporting for campaigns and launches.
Strong SQL/ETL/Oracle skills and Excel automation are essential. Apply by communicating insights to senior management, transform complex problems into mathematical models, and deliver
Employer: Bop LLC
Offered Position: Business Analyst II – AMZ010578
Job Location: 1500 Broadway, New York, New York 10036
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): using database technologies, including SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources including Kibana, OBIEE, Datanet or equivalent data extraction tool; and developing automated reporting using advanced MS Excel skills including macros.
40 hours/week, 8:00am – 5:00pm, Salary Range $81,700 - $143,100/year.
Please see job description and position requirements above.
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