Business Intelligence Engineer, Worldwide Capacity Planning

Job description

DESCRIPTION

At Amazon, we strive every day to be Earth's most customer centric company. Would you like to take one of the world's best customer service organizations to the next level? We are looking for a high-octane Business Intelligence Engineer with excellent analytical skills and business acumen to join our Worldwide Capacity Planning (WWCP) team to build and support our forecasting system, and to drive adoption of new technologies to support rapidly growing and dynamic business needs.

Amazon has one of the largest and most complex customer service networks in the world that supports millions of customers across multiple lines of business, countries and languages. The Worldwide Capacity Planning team owns end-to-end forecasting, planning and execution processes for the entire customer service network, and builds state-of-the-art capacity planning tools and solutions that deliver high quality customer experience at optimal cost. As a Business Intelligence Engineer, you will play a key role in Amazon's customer service capacity planning by successfully partnering with various operations, retail, finance, tech, BI and analytics teams to develop and support world-class forecasting systems and other business intelligence/ analytics tools. You will be responsible for designing and implementing data infrastructure and solutions using in-house and third-party technologies that ensure robustness and future scalability. You will be part of a small, strategically-focused team whose main goals are to design and implement forecasting models and systems, drive continuous improvements in forecast accuracy, and better understand and mitigate models' variance drivers. The work is complex and important to Amazon. Accurate demand forecasts drive improvements in cost and quality of our customer service on a global scale.
The ideal candidate would have excellent analytical and technical skills, superior written and verbal communication skills, and the ability to influence and lead cross-functional teams. They would be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced dynamic environment.

Responsibilities
· Design, implement, and support forecasting system's data infrastructure
· Interact with all internal and ancillary teams to deliver data, analytics and insights that are both statistically rigorous and compellingly relevant
· Partner with Business Analysts, Machine Learning/Research Scientists, Data Engineers, BI Engineers, and Software Development Engineers across Amazon to develop, test and deploy a wide range of statistical, econometric, and ML models
· Conduct statistical analysis and provide support with experimental design, exploratory data analysis, modeling, and data management
· Research critical business insights, and triage many possible courses of action, making use of both quantitative analysis and business judgment
· Develop and support ongoing and ad hoc analyses, reports and dashboards, and drive continuous improvement through automation
· Participate in developing technical strategy for turning data into actionable insights
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
· Respond to high priority requests from senior business leaders

Desired profile

BASIC QUALIFICATIONS

Required Qualifications
· Degree in Statistics, Applied Mathematics, Econometrics, Computer Science, Operations Research, Engineering, MIS or closely related field
· 3+ years of relevant work experience as a BI Engineer, Data Scientist, or Business Analyst
· Experience with SQL, data modeling, data mining, and working with large-scale datasets
· Experience with one or more statistical modeling languages/ toolboxes (R, SAS, SPSS, Matlab, Python, etc.)
· Experience with one or more BI reporting tools (Tableau, MicroStrategy, Business Objects, OBIEE, Cognos, etc.)
· Knowledge of data warehousing concepts
· Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams