Do you want to be an integral part of the world's transition to the cloud? The ML Capacity Delivery Team (MLZ) is seeking a Business Intelligence Engineer II (BIE) with a combination of superior analytical abilities, business acumen, curiosity, technical skills, and strong written and verbal communication skills to join our team.

The MLZ team is responsible for delivering ML and AI infrastructure capacity across AWS's global data center footprint. As a BIE on this team, you will build the data foundations, reporting systems, and analytical capabilities that enable leadership to make critical decisions about how we plan, track, and deliver ML capacity at scale. You will work closely with technical program managers, systems engineers, operations teams, and planning organizations to transform complex operational data into actionable insights that drive delivery velocity and efficiency.

Data-driven decision-making is at the core of Amazon's culture, and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the ML Capacity Delivery organization and our customers. You will gather customer needs and insights, mine large and diverse data sets from across AWS Infrastructure, build visualizations and tools for our business partners, and generate insights to help senior leaders make critical business decisions. The successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but will also interact directly with business leaders and teams that rely on the metrics and analyses they produce.

The ideal candidate must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon - this role is for you!

Key job responsibilities

Design, develop, and maintain scaled, automated, user-friendly systems, reports, and dashboards that support ML capacity delivery tracking, planning, and operational decision-making.

Build and optimize data pipelines for extraction, transformation, and loading (ETL) of data from diverse sources across AWS Infrastructure using SQL, Python, and AWS big data technologies.

Apply deep analytic and business intelligence skills to extract meaningful insights from large and complex data sets related to capacity delivery timelines, supply chain logistics, and infrastructure deployment.

Collaborate with program managers, systems engineers, and operations teams to understand business requirements and translate them into scalable data solutions and reporting capabilities.

Build data visualizations that tell the story of ML capacity delivery performance - trends, patterns, bottlenecks, and outliers - through rich, intuitive dashboards for stakeholders at all levels.

Design and track key performance metrics that measure the health and efficiency of ML capacity delivery operations, including delivery velocity, on-time performance, and pipeline throughput.

Serve as a liaison between business and technical teams to achieve the goal of providing actionable insights into current business performance and ad hoc analyses to support future improvements or innovations.

Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

Proactively identify opportunities to improve data quality, automate manual reporting processes, and enhance the analytical maturity of the team through predictive and prescriptive analytics.

BASIC QUALIFICATIONS

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

- 1+ years of SQL, ETL or Oracle experience

- 1+ years of processing large, multi-dimensional datasets from multiple sources experience

- 1+ years of performing statistical analysis experience

- 1+ years of developing automated reporting experience

- 3+ years of in the job offered or a related occupation experience

- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience

- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field

- 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

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.

USA, VA, Herndon - 99,500.00 - 160,000.00 USD annually

USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually