Business Intelligence Engineer, Amazon Ads

Description Amazon seeks a business intelligence engineer to be a key partner for the Amazon Advertising business. Were looking for a top technical and analytical mind capable of extracting value out of our large and disparate data sets. You will influence the direction of the business by leveraging our data to deliver insights that drive decisions, evolution of our products and the way they fit into Amazon's ecosystem. Additionally, youll help streamline and simplify the metric reporting needs for our operating cadences such as daily, weekly and monthly business reviews. Our ideal candidate is a self-starter, comfortable working through ambiguity, conceptualizing and leading complex initiatives from end to end, and has an entrepreneurial spirit. In addition to working with many stakeholders internally and externally, this role requires working through ambiguity, demonstrating good judgment under pressure and the ability to thrive in a fast-paced, dynamic environment. Key job responsibilities * Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions * Make recommendations for new metrics, techniques, and strategies to improve team performance and measurement in the future * Define the data elements and data structure that our team should leverage to enable analytical and reporting capabilities for our business development team * Design and influence operational best practices for reporting and analytics to enable the team to scale * Prepare and deliver business reviews to the senior management team regarding progress and roadblocks * Work with engineering and the data warehouse to enable the appropriate capture and storage of key data points * Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format * Participate in strategic & tactical planning discussions Basic Qualifications - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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 $89,600/year in our lowest geographic market up to $185,000/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.