Description Do you have a passion for products? Do you want to work on an exciting new projects and build a business from the ground up? Do you have analytical capabilities, exceptional communication, project management skills, and the ability to multi-task and thrive in a fast-paced environment? If yes, you should consider Amazon Private Label. Private Label is a highly visible, fast-growing business within Amazon. We have a unique business and obsess over quality and building global brands our customers love. We aspire to be part of our customers’ everyday lives by offering them unique products at compelling prices backed by Amazon’s strong customer obsessed reputation. Our Business Intelligence team focuses on reporting, analysis, and facilitating high bandwidth conversations across our sourcing teams. We own Business Intelligence & Analytics for the organization and strive to provide deep insights to drive action and success for the entire organization. We are looking for candidates with a passion for data, analytics, insights and technology and who can a have broad impact across one of the biggest e-commerce businesses in the world. The successful candidate will have strong technical acumen and experience in developing reporting infrastructures and flexible front-end tools. You will conduct deep dive analyses of business growth opportunities and formulate conclusions and recommendations to be presented to senior leadership. You will also be responsible for producing written recommendations and insights for key stakeholders that will help shape effective strategies to better meet our customers’ needs. We are looking for people with strong communication skills and the ability to work effectively with cross-functional teams in a fast-paced and ever-changing environment. You will need to understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. You will also need to own rhythm of business for data driven meetings (Monthly\Weekly Business Reviews, Scorecard Reviews, etc.). 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 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 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.