Description Are you enthusiastic about the standardization of data and the automation of Business Intelligence engineering processes to drive analytics and reporting? Do you excel in fast-paced, ambiguous environments? Are you passionate about transforming data into actionable recommendations, implementing data governance best practices, and defining standards for data access, quality, and consistency? If so, your search ends here! Join us to innovate and deliver world-class business intelligence. Find out more about us in this video: https://www.youtube.com/watch?v=zt1qWl379rM The Worldwide Operations Finance Standardization & Automation (S&A) team is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer (BIE) to join the team. The role demands a comprehensive grasp of data and reporting, requiring an individual with strong analytical capabilities and exceptional business acumen. The ideal candidate will not only elevate the standard for data retrieval and analysis but will also exhibit a keen curiosity to understand the business holistically, proactively delving into issues as they arise. Attention to detail, proficiency and advanced skills in SQL/DWH/Python, and a knack for solving data and reporting challenges are essential. Effective collaboration and clear communication with functional teams, both regionally and globally, are integral to the role. The ideal candidate thrives in a fast-paced, dynamic environment, embodying a creative and analytical problem-solving approach, aligning with the Amazon motto to "Work Hard. Have Fun. Make History.". Key job responsibilities - Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. - Ensure data accuracy by validating data for new and existing tools. - Combine knowledge of statistical methodology and analysis with programming skills to support complex analyses. - Collaborate on the design, development, maintenance, and delivery/presentation of forecasting models, metrics, reports, analyses, tools, and dashboards. - Respond to a variety of on-demand ad-hoc analytical requests as needed. - Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools. Basic Qualifications - Experience in the data/BI space - Experience with SQL - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) - Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) Preferred Qualifications - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with AWS solutions such as EC2, EMR, Glue, S3, Lambda and Redshift Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy\_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.