Sr Business Intelligence Engineer, NA Supply Chain Inbound Analytics - Amazon

Description Do you love using data to solve complex supply chain problems? Are you interested in innovating and developing world-class business intelligence solutions? We have the career for you! Amazon's supply chain planment team is seeking a Business Intelligence Engineer (BIE) to join our Analytics team. We deliver business intelligence/data science solutions to a diverse community of internal customers dedicated to supply chain optimization and forecast accuracy. Amazon has culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable. As a BIE, you must possess the ability to dive deep into large amounts of data, have a great business sense, curiosity, a proven ability to deal with complexity, and the desire to influence key strategic decisions with data-driven analysis and insights. This position requires excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and data engineering practices, and the ability to partner with various teams across Amazon. The successful candidate will be a self-starter comfortable with ambiguity, capable of working in a fast-paced environment, possess a strong attention to detail, and able to collaborate with internal customers to understand and transform business problems into requirements and deliverables. Key job responsibilities As a BIE on our team you will focus on exciting and challenging problems, including: Working on new and ambiguous business problems which have not yet been solved before and which offer the chance to innovate and apply novel approaches to tackle these problems at their root while stepping back to understand the broader context. Identifying, developing and executing analyses to uncover areas of opportunity and present business recommendations to reduce fulfillment cost, optimize resources and protect customer experience. Reporting key insight trends, using statistical rigor to simplify and inform business teams of noteworthy story lines that impact the business. Working with other technology teams to extract, transform, and load data from a variety of data sources using SQL, scripting language and AWS technologies. Continuously learning, evaluating and implementing various big-data technologies and solutions to optimize processing of extremely large data sets in an accurate and timely fashion. Recognizing and adopting best practices in reporting, analysis, data integrity, test design, validation, and documentation. Building automated data solutions and dashboards to enable your team to self-service data needs, allowing you to focus on answering hard and ambiguous problems. A day in the life The broad mission of the supply chain placement team is to create actionable insight to improve ideal inventory placement and purchasing volumes. We partner with internal stakeholders to continuously improve plan accuracy, visibility and tools to automate the planning process. Every week we provide an accurate short to medium term aggregate fulfillment plan for the US and CA fulfillment network in order to make local planning decisions at the FCs. "Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan" "If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!" Basic Qualifications - 5+ years of SQL experience - 7+ years of professional or military 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 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 $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.