Business Intelligence Engineer, Seller Partner Trust Analytics

As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional business analyst to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheelSellers’ trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by diving deep into how we measure our progress and helping to identify and prioritize key areas of focus. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems.The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient & automated processes. They will set the vision, strategy, and roadmap, and work alongside with stakeholders in the organization to make it happen. They know and love working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. They are analytical and creative, and don’t quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.Key job responsibilities Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs. Work with team leadership to understand the customer needs and concerns as well as define solutions. Translate business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs. Use analytical and statistical rigor to solve complex problems and drive business decisions. Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. Design and drive experiments, A/B testing, outlier deep dives and form actionable recommendations. Manage the implementation of those recommendations. Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Monitor and troubleshoot operational or data issues in the data pipelines Review and audit existing ETL jobs and SQL queries.About the team The Seller Trust Analytics team supports the entire data infrastructure and insight generation for the Selling Partner Trust organization within Selling Partner Services. We focus on advocating for Sellers and building scalable and innovative solutions to allow Sellers to have long term success on Amazon. BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 1+ years of SQL, ETL or Oracle experience - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis experience - 1+ years of developing automated reporting 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 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 datasetsAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers.