Amazon Sr. BIE

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Job Details

Posted date: Jun 12, 2025

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Location: Seattle, WA

Estimated salary: $160,050
Range: $117,300 - $202,800


Description

Come be a part of a rapidly expanding $35 billion-dollar global business. Amazon Business (AB) is a fast-growing organization passionate about building solutions. We set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination, and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.

You will own end-to-end reporting and analytics solutions for complex deal operations, focusing on data engineering challenges and metric development. This role requires expertise in supply chain processes, data pipeline development, and the ability to translate business requirements into scalable BI solutions while influencing cross-functional teams and mentoring others.

Key job responsibilities

Design and develop analytics solutions, including metrics, dashboards, and scalable datasets that drive business decisions up to the executive level

Own data lineage and infrastructure across the organization, ensuring data accuracy, accessibility, and actionability of BI solutions

Lead large-scale BI projects requiring cross-team collaboration while setting and maintaining engineering best practices

Provide technical leadership in system capabilities, limitations, and optimization opportunities while driving consensus across stakeholder groups

Mentor team members and contribute to the professional development of colleagues through knowledge sharing and code review



Qualifications

- 5+ years of SQL experience

- Experience in scripting for automation (e.g. Python) and advanced SQL skills.

- Experience programming to extract, transform and clean large (multi-TB) data sets

- Experience with data visualization using Tableau, Quicksight, or similar tools

- Knowledge of data warehousing and data modeling

- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related technical field, or equivalent practical experience



Extended Qualifications

- Experience working directly with business stakeholders to translate between data and business needs

- Experience managing, analyzing and communicating results to senior leadership

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 $117,300/year in our lowest geographic market up to $202,800/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.



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