Description Amazon's Selling Partner Support Impact Measurement team is seeking an experienced Business Intelligence Engineer (BIE) who will be a key contributor developing robust measurement mechanisms and insights for products that directly impact sellers' experiences on Amazon. If you are a self-starter who thrives in a fast-paced and ever-changing environment, with a scientific mindset, then you are the right candidate for our team. Join us in the Central Impact Measurement team of Amazon's Selling Partner (SP) Support Org and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, scientific expertise, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce. In this role, you will join the Selling Partner Support Partner Engagement org. You will help in developing and implementing causal inference mechanisms, data frameworks, and interactive dashboards and visualizations to drive data-driven decision-making across the organization. You will support the Global Process management team, the Root Cause Owning teams and One Amazon Support teams. measuring initiatives implemented for various metrics, and be instrumental in reporting on these initiatives. Key job responsibilities 1. Use and contribute to causal inference methods to measure impact. 2. Contribute to scalable, robust code-base for measurements. 3. Create effective visualizations and dashboards that tell a compelling story and provide recommendations for new business initiatives. 4. Conduct driver analysis and develop time series models to forecast trends in metrics.. 5. Provide training and support to business users, ensuring effective adoption and utilization of BI solutions. 6. Communicate data clearly and concisely, adjusting your style for different audiences to address complex financial issues effectively. Your communication will influence critical business decisions. About the team Impact Measurement team within SP Support Partner Engagement space is responsible for measuring the causal impact of programs aimed at improving SP experiences, with a primary focus on contact elimination, Average Case Handle Time (ACHT), case reopen rates, and other critical operational metrics. We implement advanced causal inference methodologies, particularly synthetic control methods, to enable data-driven decision making in contexts where traditional A/B experimentation is not feasible. Our team serves as the scientific backbone for evaluating program effectiveness across the organization, ensuring that business decisions are founded on rigorous, statistically valid evidence rather than correlational observations. Our customers include SP-Support Program and Product owners, Vendor support, One Amazon Support as well as 50+ upstream root cause owning teams. Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience with Experiment design and observational Causal inference models - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - 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 Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon 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. 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. 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.