Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you'll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers' experiences in ways we can't even image yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.
The Business Process Analyst will support Ops Robotics Supply Chain by scoping, developing and maintaining Tableau dashboards and performing ad-hoc data analysis to support cross-functional customers. They will create and execute SQL scripts to connect to, manipulate, and transform a multitude of data sources to support dashboards and statistical deep dive analysis. The Business Process Analyst will also collaborate with Legal to ensure supplier contracts are finalized on-time to support important technology development and provide insights into contract status to company to support business reviews. We're looking for a motivated self-starter who's passionate about managing operational processes, analyzing trends, and recommending and implementing process improvements. This is a unique role, with similar functions to a business operations analyst and a contract analyst. The successful candidate must be inquisitive, enthusiastic about technology, like being continually challenged, demonstrate sound judgment, and attention to detail.
. Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics, Supply Chain or related field or relevant experience
. 1+ years of experience in a business analyst/data analyst/statistical analyst role
. 3+ years of experience conducting analysis and data mining using Microsoft Excel or similar tools
. 1+ years of experience in verbal and written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
. Knowledge of data mining and processing using SQL and at least one of SAS/R/Python
. Understanding of data warehousing and data modeling
. Familiarity with regression methods (e.g., linear, logistic, time series)
. Experience with ERP (Oracle a plus)