Business Intelligence Engineer, Amazon Transportation

Business Intelligence Engineer, Amazon Transportation

The Supply Chain Optimization Technologies (SCOT) organization has an immediate need for a creative business intelligence engineer (BIE) with a passion for building systems that have a measurable impact. The right candidate will be innovative and technically versatile. You will have the opportunity to work with one of the largest and most complex warehouses in the world to gather insights from across Amazon.

As a BIE, you should be an expert in the architecture of data warehouse solutions for the enterprise using multiple platforms. You should excel in the design, creation, management, and business use of extremely large datasets. Excellent business and communication skills are required to work with business analysts and data engineers to understand how best to design reporting and analytics data systems.

Key job responsibilities

- Apply mining, quantitative analysis, and statistical models to understand how our customers interact with us and identify ways to improve the customer experience and meet our goals.

- Build scalable solutions and self‑serve platforms that will provide insights to inform business decision making.

- Optimize the performance of business‑critical queries and deal with ETL job‑related issues.

- Gather and understand data requirements, working with the team to achieve high quality data ingestion and build systems that can process, transform, and store the data in various relational and non‑relational stores.

- Dive deeply into technical details (e.g., key dependencies, design choices, operability, etc.) with engineering teams and drive constructive technical discussions. Extract and combine data from various heterogeneous data sources.

- Build and evaluate end‑to‑end designs for strengths and weaknesses (quality, scalability, latency, security, performance, data integrity, etc.).

- Create interactive visual dashboards with Tableau and QuickSight.

- Write clear documentation, architecture documents and create an engineering roadmap.

- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.

Basic Qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

- Experience with data modeling, warehousing and building ETL pipelines.

- Experience with data visualization using Tableau, QuickSight or similar tools.

- Experience writing complex SQL queries.

- 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.

Benefits

1. Medical, Dental, and Vision Coverage

2. Maternity and Parental Leave Options

3. Paid Time Off (PTO)

4. RRSP

Posted: December 2, 2025 (Updated 1 day ago)

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