Amazon Advertising is looking for a Business Intelligence Engineer who can work in a fast paced, data-driven environment. The selected candidate will have a passion for making data driven decisions. Successful attributes include the ability to be an effective communicator to various audiences, the capacity to remain flexible and adept at learning new tools, and the facility to implement new systems within a team atmosphere. Our environment is deadline driven and fast paced and therefore requires detail-oriented individuals comfortable interacting or working with multiple teams (business and technical). As you further your career as a Business Intelligence Engineer in Amazon Advertising, you will focus on improving corporate reporting frameworks and data visualization. You will analyze performance data, discover and solve real world problems and build metrics and business cases to improve decision making. We are focused on your success and want to build strong leaders within Amazon Advertising. You can expect to leverage your analytical skills and have full ownership of the projects you work on. Responsibilities may include: • Day to Day operations reporting. • Work with teams from across Amazon to improve data quality within their respective products and platforms • Identify root causes of data issues and develop solutions • Work with software developers / data engineers to improve data quality on our state-of-the-art platforms • Report results in a manner which is both statistically rigorous and compellingly relevant. • Model data and metadata to support ad-hoc and pre-built reporting. • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. • Drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build. • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. • Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment Key job responsibilities Responsibilities may include: • Day to Day operations reporting. • Work with teams from across Amazon to improve data quality within their respective products and platforms • Identify root causes of data issues and develop solutions • Work with software developers / data engineers to improve data quality on our state-of-the-art platforms • Report results in a manner which is both statistically rigorous and compellingly relevant. • Model data and metadata to support ad-hoc and pre-built reporting. • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. • Drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build. • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. • Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - 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 - 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 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, NY, New York - 109,500.00 - 185,000.00 USD annually