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Description

Do you pioneer?

Do you enjoy breaking down and solving complex problems for the benefit of a quickly expanding customer base, focusing first on our customer and working backwards? Do you want to be part of a newly formed organization that is designing and launching new business models across the world? If so, the AMXL supply chain team is looking for an experienced leader with a strong record of achieving results, to create and execute the worldwide AMXL supply chain by working closely with our retail and operations partners across the globe in order to effectively manage volume flows and fullness for our fulfillment centers and delivery stations. The role requires heavy index on dive deep, bias for action, and ownership.

Amazon Extra Large (AMXL), formerly known as Special Handling, obsesses over customers by offering a white glove service where we deliver TVs and other large items like furniture in customers homes. Not only do we deliver large parcels, we unpack, assemble, install and sometimes even do tests, hauling away old items as needed. As we head into Peak, we continue to build our special handling fulfillment, delivery and services network and will add more fulfillment centers and delivery stations across NA. We are currently in the process of building out a network that is poised for big growth in the coming years.

The Business Intelligence Engineer will support the rapid growth of this initiative by developing business metrics, mining data to uncover consumer insights and business opportunity, and partnering with internal stakeholders to drive the business. The ideal candidate will be highly analytical with proven experience delivering results.

Specific responsibilities include identifying the necessary metrics and creating reports to increase understanding of the business, proactively identifying pain points or opportunities through systemic measurement. The Business Intelligence Engineer will be detail oriented, and possess expertise in both qualitative and quantitative analysis with a passion for delivering actionable insights to key stakeholders. The right candidate will blend advanced reporting with strong critical thinking and project management skills.

Key job responsibilities

• Hire, manage, coach and lead a high performing team of Business Intelligence Engineers

• Build datasets, metrics, and KPIs supporting business goals for the Amazon NA DSP org

• Design, implement and support end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective

• Collaborate cross-functionally to recognize and help adopt best practices in reporting and analysis, data integrity, test design, analysis, validation, and documentation

• Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy findings that impact the business

• Proactively identify problems and opportunities and perform root cause analysis/diagnosis leading to significant business impact

• Work closely with business and operations leadership, including executive leadership at Amazon, to define the technical product and provide updates on the program.

• Own reporting for business reviews with leadership

• Manage all aspects of BI projects such as project planning, requirements definition, risk management, communication, and implementation planning.

• Work with data engineering and software development teams to enable the appropriate capture and storage of key data points.

Basic Qualifications

• 7+ years of business intelligence and analytics experience

• 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience

• Experience with SQL

• Experience with ETL

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

• Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software

Preferred Qualifications

• 4+ years of working with very large data warehousing environment experience

• 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,100/year in our lowest geographic market up to $223,100/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.