Sr. Business Intelligence Engineer, Data Science & Analytics - Amazon

Description Are you interested in building highly impactful business intelligence (BI) solutions in a mixed team of BIEs, Data Scientists, Data Engineers, and SDEs? If so, you should consider a role in AWS Hardware Engineering Services. We are responsible for designing, qualifying, and maintaining server solutions for AWS and its customers. The Data Science and Analytics team supports the broader Hardware Engineering organization by acting as conduits between the data and the business. As a Sr. Business Intelligence Engineer in our team, you will own the design, implementation, and delivery of BI solutions in a complex problem space that has a long-term impact on a business, organization, and technology. You will gain exposure to both Data Science and Data Engineering disciplines, while developing your technical skills and leadership ability. The ideal candidate will be experienced in the areas of data and business intelligence systems. You have a demonstrated record of driving new analytical solutions from inception to launch. You are highly skilled with SQL, have experience developing ETL processes, understand data visualization tools such as QuickSight, have familiarity with at least one scripting language, and are comfortable taking a leadership role. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA Basic Qualifications - 5+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience building measures and metrics, and developing reporting solutions - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience working directly with business stakeholders to translate between data and business needs - Experience with data modeling, warehousing, and building ETL pipelines - Proven track record of identifying and resolving data quality issues Preferred Qualifications - Experience with statistical analytics and programming languages such as R, Python, Ruby, etc. - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience managing, analyzing and communicating results to senior leadership - 10+ years of SQL experience - Experience with AWS technologies - Experience with theory and practice of design of experiments and statistical analysis of results 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. This position will remain posted until filled. Applicants should apply via our internal or external career site.