DESCRIPTION
Job summary
At Amazon, we're working to be the most customer-centric company on earth. The vision of Automated Profitability Management (APM) is to automate and improve Amazon Retail Profitability through the innovative application of Machine Learning and Software Engineering.
Traditionally, this involved an Amazon Retail Vendor Manager contacting their supplier and regularly discussing the terms of our business relationship. These terms include: product cost, vendor funding for various initiatives on Amazon (e.g. volume-based incentives, promotions, merchandising opportunities, etc.), damage allowances, and inbound logistics and supply chain optimization, to name a few. Each aspect of these terms has a direct impact on the vendor and Amazon's growth and profitability. Now imagine doing this globally, across tens of thousands of suppliers, millions of products, all with double-digit annual growth. Our ability to scale without the use of automated solutions is severely limited. APM offers automated and scalable solutions to optimize the terms of our relationship with vendors and reach a wider vendor audience for negotiations.
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How do we do this? Data lots of data. We scour a vast array of DataWarehouse tables including, offer-level evaluations, historical and projected sales and profitability, vendor benchmarking, and heuristics to optimize Amazon's profitability. We are turning the art of Retail profitability management into a science. In APM, we are developing systems that will leverage technology to disrupt and fundamentally change the way e-commerce supplier terms are managed.
As a Business Intelligence Engineer, you will work with our Finance team and partner with the business to create automated and scalable analytical tools that will ultimately be critical in driving the growth and profitability of the business. This includes building the infrastructure for regular reporting on business performance, writing the logic for program-level opportunity valuation, and deep diving the assumptions behind each program to test our initial hypotheses and assumptions. You will leverage the data to provide key data-driven insights, enable new opportunities, and innovate on behalf of our business customers. Your responsibilities will include:
• Owning the core reporting infrastructure and ensuring accuracy, integrity, and reliability
• Generating actionable insights through the development of metrics, dashboards and deep dive analyses
• Serving as a technical, business-metrics specialist and insight provider in the organization
• Acting as a key interface between our business customers and technical divisions
BASIC QUALIFICATIONS
• BS in Engineering, Statistics, Computer Science, Math, Finance, or other quantitative field
• 4+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments
• 3+ years of experience in data mining and dataset preparation using SQL
• 3+ years of experience in data visualization tools like Quicksight or Tableau
• Strong critical thinking skills and attention to detail
• Experience in designing and building data infrastructure and automated reporting tools
• Strong interpersonal and communication skills. Must be able to explain technical concepts and analysis clearly to a diverse audience, including senior executives, and be able to translate business objectives into actionable analyses
PREFERRED QUALIFICATIONS
• Masters in Industrial Engineering, Statistics, Computer Science, Math, Business, Finance, Operations Research or other quantitative field
• Proven experience in BI/DW as a change leader providing strategic research, recommendations, and implementation in both business and technical roles
• Familiarity with Amazon's cloud infrastructure including Redshift, EC2, etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.