Business Intelligence Engineer, Supply Chain Innovation

Amazon; Nashville (TN); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Business Intelligence Engineer to join their innovative Supply Chain Innovation team. This role involves leveraging advanced analytics and visualization techniques to enhance data-driven storytelling and support strategic decision-making. The ideal candidate will possess strong analytical skills and a creative mindset, capable of addressing complex business problems through data interpretation and automation. This position offers a unique opportunity to work on high-impact supply chain projects that shape the future of operations, making it an exciting prospect for those passionate about data and innovation.

Qualifications

• 3+ years of experience analyzing and interpreting data with various databases.
• Strong skills in data visualization and statistical analysis.

Responsibilities

• Drive improvements through analysis, visualizations, and data-driven storytelling.
• Collaborate across teams to support data gathering and reporting.

Skills

Analytical Skills

Data Interpretation

Statistical Analysis

Data Visualization

Data Storytelling

Problem Solving

Tools

Redshift

Oracle

NoSQL

Tableau

Quicksight

R

SAS

Matlab

SQL

Python

Job description

Business Intelligence Engineer, Supply Chain Innovation

Job ID: 2945661 | Amazon.com Services LLC

Amazon’s Global Supply Chain (GSC) is looking for a Business Intelligence Engineer for the Supply Chain Innovation (SCI) team. SCI plays an important role in defining and shaping Amazon’s inbound supply chain's long-term strategy. We are responsible for the incubation and execution of highly visible supply chain projects across low-cost storage, bulk fulfillment, inbound cross-docks, fast-deploy fulfillment, and network optimization. Our solutions address the needs of the inbound network in order to meet the speed, cost, and resiliency demands of our customers.

In this role, you will be leveraging various analytic and visualization techniques to support data-driven storytelling, and look around corners to continuously raise the bar on our business insights capabilities. You will collaborate across supply chain and research science teams to meet the current and future needs of the business through data gathering, automation, standardization, and reporting.
The ideal candidate is an individual with excellent analytical abilities and a creative mind to invent solutions in technical architecture, business process, and financial outcomes. The successful candidate will be a self-starter comfortable with ambiguity, who has a strong attention to detail, and enjoys working with large-scale data.

Key job responsibilities:
Deep dive into operations execution and business problems, use analytical and statistical rigor to identify trends and opportunities, and present written and verbal analyses to drive improvements.

1. Improve business results through creating best-in-class metrics, analysis, visualizations, and data-driven storytelling.
2. Adopt best practices in reporting and analysis: data needs, data integrity, test design, analysis, validation, and documentation.
3. Develop an understanding of the broad range of Amazon’s data resources, which to use, how, and when.

BASIC QUALIFICATIONS

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

PREFERRED QUALIFICATIONS

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets