Business Analyst I, Vendor Flex ID-15147

May 15, 2025

ription

Vendor Flex (VF) operates micro-fulfillment solutions within a vendor's own warehouse, rent-free: working with Operations, Finance, Retail, vendors, and various technical teams to do so. The VF 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.

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A day in the life

Amazon offers a full range of benefits to support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About The Team

The VF Data team is composed of four wings: Reporting (the team you'd be working on), Analytics, Data Engineering, and Science. The team values a positive and collaborative environment that fosters a standard bar of excellence, while allowing for nurturing each person's strengths, interests, and desired growth (inline with the business needs). A good fit with this team is someone who is humble, thoughtful, and enjoys supporting others, while also reliable to deliver what is needed on your own. It is an expectation that the Data team collectively informs the vision and direction of how the Data Team can best support the needs of the VF business.

Basic Qualifications

2+ years of complex Excel VBA macros writing experience
Bachelor's degree or equivalent
Experience defining requirements and using data and metrics to draw business insights
Experience with SQL or ETL
Experience demonstrating problem solving and root cause analysis

Preferred Qualifications

Experience scripting for automation (e.g., Python, Perl, Ruby)
Experience using very large datasets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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