Amazon.com Services LLC
Business Intelligence, Planning/Development, transportation and logistics
BusinessAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Analyst at Amazon.com Services LLC. Skills: Data analysis, SQL, Reporting, Automation. Develop methods and metrics. Provide insights to business teams”
Industry & Context.
Problem solving; Root cause analysis; Data-driven decision making
What They're Looking For.
Must Have
Bachelor's degree or equivalent, Experience defining requirements, Using data and metrics for insights, Experience creating complex SQL queries, ETL DW concepts, Demonstrating problem solving, Root cause analysis, Experience with reporting tools, Data Visualization tools
Nice to Have
Experience scripting for automation, Experience using very large datasets, Experience in Amazon Redshift, Experience with other AWS technologies
What You'll Do.
Develop methods and metrics
Provide insights to business teams
Provide insights to operations teams
Provide insights to retail teams
Recognize best practices in reporting
Recognize best practices in data integrity
Recognize best practices in test design
Recognize best practices in analysis
Recognize best practices in validation
Recognize best practices in documentation
Write quality code to retrieve data
Write quality code to analyze data
Understand data resources
Move forward in face of ambiguity
Move forward in face of imperfect data
Find a solution around the problem
Maintain a high analytical bar
Ensure decisions are based on data
Communicate results verbally
Communicate results in writing
Communicate techniques verbally
Communicate techniques in writing
Automate reoccurring tasks
Design data pipelines
Develop recurring reporting
Perform ad-hoc analysis
How You'll Work.
Team & Collaboration
Business partners; Peers; Reporting team; Analytics team; Data Engineering team; Science team; VF business needs
Communication Scope
Verbal communication; Written communication
Full Job Description
External Fulfillment (EF) operates as team of innovators and creatives who deploy non-standard fulfillment solutions to areas of high opportunity to yield results that benefit our third party partners and Amazon as a whole. The EF team is a rare jewel that owns the end-to-end processes across the whole of Amazon's supply chain (instead of deep siloes). This would allow you to gain insight across the various systems and innovations that sets Amazon apart in the fulfillment space. We are in a growth phase, with exciting opportunities to continue to drive innovation, while having a lot of fun in the process. For this role, we are looking a tactical player who can quickly adapt to changing business needs and design solutions quickly. This role will work in an ambiguous environment and build solutions end-to-end (structuring the data, analyzing the data, visualization and/or automation. If you love working with data and solving problems, this is the role for you! Key job responsibilities - Develop methods and metrics that provide insights to business, operations, and retail teams - Recognize and adopt best practices in reporting: data integrity, test design, analysis, validation, and documentation - Write quality code to retrieve and analyze data - Understand data resources and know how, when, and which to use (and which not to use) - Continue to move forward in the face of ambiguity and imperfect data. Find a solution around the problem that still maintains a high analytical bar. - Ensure that decisions are based on the merit of their unbiased data, not the proposer. Stay “true to the data”. - Clearly communicate results and techniques, both verbally and in writing to peers and business partners. - Automate reoccurring tasks across Operations and Business teams using SQL/Python. A day in the life Each day is a new challenge. From working with stakeholders to define requirements to designing data pipelines, you will never get bored in the mundane. Instead we strive to de
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