Business Intelligence Engineer, Selling Partner Insights And Analytics

Business Intelligence Engineer

We are seeking an exceptional Business Intelligence Engineer to drive data-informed decision-making across our organization. This role combines technical expertise with business acumen to transform complex data into actionable insights, with a specific focus on Seller Performance Support metrics and experiences. Key job responsibilities include becoming a subject matter expert of SP Support experience metrics, continuously monitoring data quality and optimizing data flows, creating effective visualizations and dashboards, conducting driver analysis and developing time series models, identifying and executing analyses to uncover opportunities, measuring initiatives for Seller Experience, utilizing advanced SQL/Python skills, collaborating with Product Managers and the Science team, providing training and support to business users, and communicating data clearly and concisely.

The Selling Partner Insights and Analytics team vision is to provide data and insights to accelerate stakeholder's data-driven decisions, enabling continuous improvement of the Selling Partner experience. Our mission aligns with this vision by making it easier and faster for our internal customers to use analytics to swiftly transform data into actionable insights. This team supports all programs where the data/analysis is needed for program teams, Operations and stakeholders from the broader Selling Partner Support team.

Basic Qualifications include 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, 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, and experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling. Preferred Qualifications include 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 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.