At Amazon.com, we strive to be Earth’s most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history.

Key job responsibilities
An ideal candidate for this role:
- Use machine learning techniques to forecast AM Goals for improved long term and short term capacity planning.
- Employ the appropriate algorithms to discover patterns of risks, redundancies and inefficiencies.
- Design experiments, test hypotheses, and build actionable models to optimize AM operations.
- Solve analytical problems, and effectively communicate methodologies and results.
- Build predictive models to forecast risks for seller selction and operations and help predict workflow and capacity requirements for AM operations.
- Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies.
- Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area

A day in the life
As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement.