Description Amazon has the world’s most complex supply chain: we fulfill global demand for hundreds of millions of products at lightning fast delivery speeds. We need your skills to optimize our supply chain, with the end goal of delighting our customers. A core part of the supply chain operations is Demand and Inbound Forecasting: We forecast the demand and arrival of tens of millions of products. The forecasts are used to make many decisions, such as automatically order hundreds of millions worth of inventory, decide where to place that inventory, and establish labor plans for WW warehouses. We are looking for a Sr. Business Intelligence Engineer to lead the development of new tools to monitor and improve forecast health. You will do this by detecting, diagnosing and correcting forecast problems and generating metrics and insights. You will have the resources and tools to help you deliver this mission and support from partner teams like Data Engineering/Data Science/Product. A successful candidate will be customer obsessed - the Forecasting org has 50+ unique customers. You will need to balance long-term thinking with short-term actions. You will be comfortable navigating an ambiguous environment, know how to confirm and reconfirm assumptions, and be able to harmonize disparate points of view. Key job responsibilities - Develop solutions that utilize the highest standards of analytical rigor with data integrity to provide reporting against large, multi-dimensional datasets and multiple sources - Partner with scientists, engineers, product managers, and program managers to build and productionize forecasting metrics; perform analysis to identify the root cause of issues and generate actionable insights to guide the appropriate solution - Engage stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and scripting - Build internal and customer-facing dashboards to provide metrics and convey insights which highlight forecast performance and explain variance - Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, data modeling and finding synthesis, and communication of insights and recommendations - Mentor team members by coaching them on the analytics lifecycle, including identifying the optimal analytical method, building and automating the solution, and generating insights from the results A day in the life - Engage regularly with customers to identify and prioritize forecast improvement opportunities - Define and deliver a long-term vision to solve the customer's problems and improve forecast accuracy - Lead the definition and governance of key business metrics, and engineer data-driven processes that drive business value - Create and foster an environment that values and promotes an inclusive approach to problem solving and continuous learning About the team We are ASIN Forecasting Analytics Team. We monitor the ASIN demand and inbound inventory forecasts for Amazon Businesses WW. We report on historical forecast performance, the changes of future forecasts, and the health of future forecasts. We develop intervention models to correct forecasts when defects exist or for scenarios that are not addressed adequately by core models. In addition to forecast accuracy, we help manage forecast volatility. We partner with stakeholder teams to assess the future forecast against existing supply conditions. Basic Qualifications - 7+ years of professional or military experience - 6+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience with AWS technologies - Master's degree in statistics, data science, or an equivalent quantitative field - Experience managing, analyzing and communicating results to senior leadership Preferred Qualifications - Experience working directly with business stakeholders to translate between data and business needs 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.