Business Intelligence Engineer 2 - RME Strategy

Description

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. The Reliability & Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement and maintain all of the robotics and material handling equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey!

About the Role:
As the Business Intelligence Engineer II, Workforce Analytics, you will play a crucial role in driving data-informed decision making for the North America RME Strategy team. You will design and deliver analytical solutions that provide visibility into workforce effectiveness, headcount trends, and operational performance across our network of fulfillment centers, sortation centers, and last-mile delivery stations. This role offers a unique opportunity to develop both technical and strategic capabilities while shaping the future of RME's workforce analytics infrastructure.

What Do We Offer?
Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there's more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety!

Key job responsibilities
• You will design and maintain scalable reporting and analytical systems; including data models, SQL queries, and Python scripts that enable real-time tracking of workforce effectiveness, headcount trends, and operational performance across the RME network.
• You will develop comprehensive data visualizations and dashboards using tools like Amazon Quick, Microsoft Excel, and other visualization tools to surface workforce KPIs, attrition insights, and employee relations data for strategic decision-making.
• You will evaluate and integrate data across multiple systems — including learning and training tracking compliance systems, PXT systems, overtime, PRM (Parts, Repairs & Maintenance), Finance, and GPO data platforms — to build automated reporting solutions that support RME workforce planning initiatives.
• You will partner with stakeholders across HR, Finance, and RME Field Leadership to translate complex business questions into analytical frameworks, driving data-informed decisions at scale.
• You will support cross-functional initiatives and network-wide projects, with travel up to 15% to fulfillment centers, sortation centers, and last-mile delivery stations as needed.


A day in the life
Your day centers on driving data-informed decisions across the RME network. You'll start by reviewing ticket queues and updating project status in Taskei/Sim, ensuring alignment with quarterly roadmaps. Throughout the day, you'll build and maintain QuickSight visualizations for operational metrics, collaborate with partner teams to unlock new data sources, and optimize existing SQL queries for performance tracking. You'll spend time working with teams across Amazon's tech landscape - from Operations Technology to HR Systems - while documenting progress and sharing insights through regular stakeholder updates.

About the team
The North America Reliability and Maintenance Engineering (NA RME) Strategy team drives the long-term vision for Amazon's maintenance organization. Supporting a network of over 1,500 facilities and more than 20,000 maintenance professionals (Amazon employees and third-party providers), we develop strategic initiatives to improve maintenance efficiency and enhance equipment reliability across our fulfillment network. Working closely with RME leadership, Finance, Operations, PXT, Talent Acquisition, and Technology teams, we deliver data-driven insights that shape maintenance program investments, workforce planning, and technology adoption to maintain Amazon's world-class operational standards.

Basic Qualifications

- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

Preferred Qualifications

- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.