Business Intelligence Engineer Infrastructure Capacity Delivery

Description

AWS Infrastructure Services is responsible for the design, planning, delivery, and operation of all AWS global infrastructure. We ensure that the cloud keeps running smoothly for our customers by supporting all AWS data centers and critical equipment such as servers, storage, networking, power, and cooling systems.

You will be joining a dynamic team consisting of software, hardware, and network engineers, supply chain specialists, security experts, and operations managers. In this role, you will collaborate with various teams across AWS to achieve the highest standards in safety and security, while delivering unparalleled capacity at the lowest possible cost. We foster an inclusive culture that welcomes bold ideas and empowers you to take ownership of your projects.

We are looking for a Business Intelligence Engineer who can thrive in a fast‑paced environment while partnering with managers and business leaders to offer insightful, data‑driven recommendations. The ideal candidate will be deeply analytical, enthusiastic about data mining, and proficient in generating insights that guide organizational strategy.

As a Business Intelligence Engineer, you will dive deep into data and develop essential metrics to identify areas for improvement. You will partner with the business to implement effective solutions and enhance customer experiences through robust technical and analytical insights. Your efforts will empower data‑driven decision‑making by implementing data mining principles and developing analytical skills to define and measure key business health metrics. You will create automated reports and dashboards to communicate findings effectively using self‑service tools.

Key Responsibilities

• Design, develop, implement, and maintain large‑scale data structures for business intelligence analytics.
• Implement best practices in data modeling to support online reporting and analysis across multi‑dimensional datasets from various sources.
• Gather business and functional requirements, translating them into robust and scalable solutions within the overall data architecture.
• Analyze source data systems to drive best practices across teams.
• Examine vast quantities of data to uncover real‑world solutions, building metrics to assist business decisions.
• Participate in the full development lifecycle from design to delivery, ensuring comprehensive dataset documentation and metadata.
• Assess proposed dataset implementations by peer data engineers and identify business process improvements from data insights.
• Evaluate business processes and propose data‑driven enhancements.

About the Team

Diverse Experiences: We believe that diverse experiences enrich our company. If your career path is non‑traditional or you feel you don’t meet every qualification, we encourage you to apply.

Why AWS?

As the most comprehensive cloud platform globally, Amazon Web Services (AWS) has been a pioneer in cloud computing. Our innovative products and services are trusted by businesses ranging from successful startups to Global 500 companies.

Inclusive Team Culture

We value curiosity and connection at AWS. Our employee‑led initiatives promote inclusion and allow team members to embrace their unique identities, fostering stronger collaboration.

Mentorship & Career Growth

We prioritize continual learning and performance excellence, offering knowledge‑sharing, mentorship, and resources that help employees develop throughout their careers.

Work/Life Balance

We support flexibility and strive for harmony between work and personal life, believing that a supportive environment enables extraordinary achievements.

Basic Qualifications

• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, or related field.
• 4+ years of experience analyzing and interpreting data with tools like Redshift, Oracle, and NoSQL.
• 4+ years with data visualization software such as Tableau Desktop or Quicksight.
• 4+ years in data warehouse architectures, data modeling, ETL/ELT, and SQL coding.
• Expertise in using SQL to extract data from databases or data warehouses and scripting experience with Python.

Preferred Qualifications

• Master's degree in BI, finance, engineering, statistics, computer science, mathematics, or related field.
• Experience in a BI role within a tech company or financial institution.
• Background in data mining, ETL, and working with large, complex datasets in business contexts.
• Knowledge of forecasting and statistical analysis techniques.
• Familiarity with AWS tools and technologies such as Redshift, S3, and EC2.
• 1+ years of statistical analysis experience.

AWS is an equal opportunity employer and ensures that candidates are evaluated without regard to their protected veteran status or disability.

The base salary range for this position is as follows: Arlington, VA - $99,500.00 - $160,000.00 annually; Herndon, VA - $99,500.00 - $160,000.00 annually.

Our comprehensive benefits include health insurance, 401(k) matching, paid time off, and parental leave.