Sr. Business Intel Engineer , Defect Prevention and Reconciliation - Amazon

Description Do you want to join an innovative team of engineers and analysts who use machine learning and analytic techniques to create state-of-the-art solutions for providing better value to Amazon's Sellers and Customers? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Business Intelligence team within Defect Prevention and Reconciliation (DP&R). If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you. We are looking for a stand out Business Intelligence Engineer responsible for building out analysis, visualization tools and processes to inform our business decisions. The successful candidate will be able to retrieve, integrate, visualize and present critical data in a format that is immediately useful to improve the business decision-making process. This role requires an individual with excellent analytical abilities as well as an outstanding business acumen. The successful candidate will be a self-starter comfortable with ambiguity, who has a strong attention to detail, and enjoys working with large-scale data. The Defect Prevention and Reconciliation team is looking for a Business Intelligence Engineer to analyze existing initiatives and operations, deep-dive/root cause issues as they come up, develop new business metrics, identify and quantify opportunities for improvement, and partner with internal stakeholders to help drive the business of Fulfillment by Amazon (FBA) Selling Partners. Fulfillment by Amazon (FBA) is built around Amazon's world class capabilities in ordering, fulfillment, transportation and Customer service. By leveraging our current scale and supply chain, FBA can provide a low cost alternative for fulfillment and enable third party Sellers to rapidly grow their business. Fulfillment by Amazon (FBA) is an Amazon service for our sellers. The FBA team partners with sellers and our Amazon fulfillment centers to create a seamless experience for sellers to leverage our world-class facilities. 71% of sellers who use FBA report more than a 20% increase in unit sales after joining FBA. In a very real way, we are changing lives with the work we do. Our FBA employees wake up every day thinking about how to enable our sellers to be successful on our platform. Enabling seller success allows us to provide Amazon customers with unparalleled selection and pricing. FBA is a win for sellers and a win for customers. Key job responsibilities * Defining, developing and maintaining critical business metrics and operational reports * Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations * Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of selling partner facing systems * Mining and manipulating data from database tables, simulation results, and log files * Identifying data needs and driving data quality improvement projects * Understanding the broad range of Amazon's data resources, which to use, how, and when * Thought leadership on data mining and analysis * Collaborating with data scientists to explore features, build robust data pipelines, and monitoring model performance We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA Basic Qualifications - 10+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining Preferred Qualifications - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership - Experience with operations/supply chain - Knowledge of data warehousing and data modeling - Experience building measures and metrics, and developing reporting solutions 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.