Sr. Business Analyst, AMXL Capacity Execution Amazon Jobs – Nashville, TN

DESCRIPTION

Come join one of the fastest growing orgs in Amazon! Amazon Extra Large (AMXL) owns the end-to-end business for heavy/bulky operations worldwide and is rapidly scaling to meet customer demand. We are building ground-up infrastructure and resources to create a world-class heavy/bulky supply chain and need dynamic, data-driven, results-oriented individuals and leaders to help us succeed!

The Business Analyst will support the rapid growth of this initiative by developing key business metrics, mining data to uncover consumer insights and business opportunity, and partnering with internal stakeholders to drive the business. In this role, the candidate will be focused on highly analytical projects driving results within the last mile space.

This role can be located anywhere in the United States.

Key job responsibilities

• Identify the necessary metrics and creating reports to increase understanding of the business, proactively identifying pain points or opportunities through systemic measurement.
• Present qualitative and quantitative analysis to key stakeholders by blending advanced reporting and project management skills.
• Retrieve and analyze data using Excel, Access and other data management systems.
• Monitor existent metrics, analyzing data and partnering with internal teams to identify process and system improvement opportunities.
• Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions.
• Support cross-functional teams on the day-to-day execution of the existent program implementation.
• Drive small to medium operational enhancement projects.

BASIC QUALIFICATIONS

• Degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field.
• Experience in Data Analysis, or equivalent experience such as Consulting, Finance, or Operations
• Experience with Excel, Access, SQL, Perl or other scripting languages

PREFERRED QUALIFICATIONS

• Experience solving complex quantitative business challenges
• Experience operating strategically and tactically in a high-energy, fast-paced environment
• Experience with data visualization and exploration tools (Looker, Tableau, etc.)