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 Amazon Robotics Data Science, Business Intelligence & Data Engineering team discovers insights in vast and varied robotic data to help our engineering teams understand how their technologies operate across Amazon's network of warehouses. We collaborate with designers, software and hardware engineers, and operations teams to understand product requirements, make feature trade-offs, design, and operate new applications of Amazon Robotics technology. We conduct relevant, insightful analysis and communicate the results through white papers and presentations. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.
A successful candidate will use data to understand and improve robotic technologies that are used to support the Amazon fulfillment and transportation process. They should have a background in solving the most complex and ambiguous analytic projects of their organization. We are looking for a jack-of-all-trades that is able to select and use the right tools to bring clarity to complex questions and help drive technology development and design decisions that shape our actions and outcomes.
Responsibilities may include:
· Define and develop business critical metrics and reports to provide network insights to Amazon Robotics leaders
· Embed with technology development programs to scope and prioritize analytics requirements
· Provide thought leadership in technology development deep dives across a variety of key performance indicators
· Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
· Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
-Bachelor's degree in Computer Science, Engineering, Operations Research, Math, Finance, or related discipline
-5+ years of relevant experience in a business analyst, data analyst or statistical analysis role
-Knowledge of data mining and processing using SQL and at least one of SAS/R/Python
-Understanding of data warehousing and data modeling
-Experience in developing requirements and formulating business metrics for reporting, familiarity with data visualization tools, e.g. Tableau
-Familiarity with regression methods (e.g., linear, logistic, time series)
-Analytical horsepower to break down complex problems, and a strong will to get things done and deliver results
-Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner
-Excellent organizational skills including prioritizing, scheduling, time management, and meeting deadlines
-Superior verbal and written communications skills are a must, as well as the ability to work effectively with multiple teams and external organizations
-Master's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field
-6+ years of relevant experience in a business analyst/data analyst/statistical analysis role
-Familiarity with AWS and big data analytic tools (EMR, AWS Athena)
-Experience using test / control methodology, and using machine learning techniques
-Experience with consumer research techniques such as concept testing and conjoint
-Excellent communication (verbal and written) and interpersonal skills, and an ability to effectively communicate with both business and technical teams
-Proven problem-solving skills, project management skills, attention to detail, and exceptional organizational skills
-Ability to deal with ambiguity and competing objectives in a fast-paced environment.