Business Intelligence Engineer Amazon
Seattle, WA

Job 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.).