Business Analyst III - AMZ9749985

Amazon • Seattle, WA

16d • $118,200 - $160,000 • Onsite

About The Position

The Business Analyst III will leverage forecasting models to generate insights and strategic analytics initiatives while managing comprehensive metrics reporting and performing advanced data mining and big data analysis to drive business-critical decisions. This role involves partnering with multiple functional groups to define and forecast key business drivers, ensure operational effectiveness, and incorporate continuous learning into strategic planning. The analyst will design and implement sophisticated mathematical and statistical models incorporating diverse variables such as customer behavior, product performance, operational metrics, market dynamics, and business KPIs. A key aspect of the role is driving continuous improvement by simplifying and automating planning processes, and working with analytics partners to establish scalable, efficient processes for large-scale data analyses, model development, validation, and implementation. The position requires utilizing advanced database technologies, including SQL, ETL, and Oracle, to develop and evaluate highly innovative business intelligence tools and automated reports. Sophisticated statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS, will be performed. The analyst will partner with various business groups to gain knowledge of their business requirements and operational processes, transform complicated business problems into mathematics modeling, and provide data-driven solutions. Interaction with senior management to present findings and deliver models that are statistically grounded and operationally explainable to non-technical stakeholders is expected, enabling strategic decision-making across the organization.

Requirements

• Master's degree or foreign equivalent degree 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.
• Alternatively, a Bachelor's degree or foreign equivalent degree in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation.
• One year of experience using database technologies, including SQL, ETL or Oracle
• One year of experience processing large, multi-dimensional datasets from multiple sources including Kibana, OBIEE, Datanet or equivalent data extraction tool
• One year of experience performing statistical analysis and forecasting to derive insights and recommendations using data
• One year of experience developing automated reporting using Quicksight and Excel
• One year of experience maintaining data integrity to assure input/output accuracy in various databases including Amazon Redshift

Nice To Haves

• Please see job description and the position requirements above.

Responsibilities

• Leverage forecasting models to generate insights and strategic analytics initiatives
• Manage comprehensive metrics reporting
• Perform advanced data mining and big data analysis to drive business-critical decisions
• Partner with multiple functional groups to define and forecast key business drivers
• Ensure operational effectiveness
• Incorporate continuous learning into strategic planning
• Design and implement sophisticated mathematical and statistical models incorporating diverse variables such as customer behavior, product performance, operational metrics, market dynamics, and business KPIs
• Drive continuous improvement by simplifying and automating planning processes
• Work with analytics partners to establish scalable, efficient processes for large-scale data analyses, model development, validation, and implementation
• Utilize advanced database technologies, including SQL, ETL, and Oracle, to develop and evaluate highly innovative business intelligence tools and automated reports
• Perform sophisticated statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS
• Partner with various business groups to gain knowledge of their business requirements and operational processes
• Transform complicated business problems into mathematics modeling
• Provide data-driven solutions
• Interact directly with senior management to present findings and deliver models that are statistically grounded and operationally explainable to non-technical stakeholders, enabling strategic decision-making across the organization

Benefits

• Equity
• Sign-on payments
• Other forms of compensation may be provided as part of a total compensation package
• Full range of medical, financial, and/or other benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior