Business Intelligence Engineer I, SCOT-FO, TVP

Amazon.com Services LLC; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Amazon.com Services LLC in Austin, TX seeks a highly analytical Business Intelligence Engineer to optimize delivery promises for millions of customers. You will collaborate with product managers, economists, data engineers, and software developers to build analytics and reporting capabilities that influence decisions across Amazon's retail and operations teams.

This role emphasizes data mining, scalable data systems, and leadership in analytics, turning large data sets into actionable insights.

Responsibilities

• Collaborate with software development teams to implement analytics systems and data structures for large-scale data analysis.
• Define, develop and maintain critical business and operational reports on a weekly, monthly, quarterly, and annual basis.
• Analyze historical data to identify trends and support decision making, with written and verbal recommendations.
• Mine and manipulate data from databases, simulations, and log files.
• Identify data needs and drive data quality improvement.
• Understand Amazon's data resources, what to use, when to use them.
• Provide thought leadership on data mining and analysis.
• Collaborate with engineering and science teams to define features, build data pipelines, and test functionalities.
• Learn new Amazon technologies and propose adaptations.
• Conduct deep dives into anomalies and generate insights for leadership.
• Use customer input to define data requirements.
• Explain plan-vs-plan differences between expected and actual performance.
• Maintain dashboards and reporting; address data quality issues.

Job description

The Amazon Supply Chain Optimization Technologies (SCOT) team works on some of the world's most complex supply chain challenges, at Amazon scale. We understand inventory availability for the millions of items on Amazon, compute accurate delivery expectations for customer orders, and monitor fulfillment network changes to inform delivery updates and optimizations. When customers place orders, our systems utilize real-time, large-scale optimization techniques to optimally select shipping sources and consolidate multiple orders. This enables us to ensure customers receive their shipments within the promised timeframe, in an efficient manner.

Fulfillment Optimization (FO) owns products and services that plan and execute First Party (1P) and 3P fulfillment resources for the outbound fulfillment network WW. This includes designing network topology, coordinating resource planning for inventory, labor, planes and trucks, and utilizing these resources optimally by being aware of the network's true capacity, constraints, and capabilities. We provide fast, accurate and optimized delivery promises, identify the optimal fulfillment plans, and will orchestrate XXB shipments in 2025 to efficiently leverage outbound fulfillment capabilities.

The team is composed of scientists, Business Intelligence Engineers (BIE), Software Engineers, and Researchers who lead the industry in the development of innovative algorithms and strategies to maximize the long term effectiveness of Amazon's business.

The team is seeking an exemplary Business Intelligence Engineer (BIE) with broad technical skills to build analytic and reporting capabilities that enable optimization of delivery promises for our millions of customers worldwide. The ideal candidate is a highly analytical, critical thinker with advanced problem solving, data mining, and software development skills. They will enjoy working with world-class product managers, economists, research scientists, data engineers, and software developers to drive decisions across Amazon's retail and operations teams. Successful members of this team are customer obsessed, flexible, and collaborative team players who enjoying working across functions and organizations to solve problems and get results.

They ask hard questions and build scalable solutions that provide critical business insight necessary to influence decision making across retail and operations teams. They find timely answers buried in large data sets and complex systems, identify root causes, get their hands dirty building data systems and sharing insight.

To help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scot

Key job responsibilities

• Collaborate with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning and econometric models
• Define, develop and maintain critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis
• Analyze historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations
• Mine and manipulate data from database tables, simulation results, and log files
• Identify data needs and drive data quality improvement projects
• Understand the broad range of Amazon's data resources, which to use, how, and when
• Provide thought leadership on data mining and analysis

A day in the life

• Collaborate with the Engineering and Science teams to define new product features, construct data pipelines, and test new functionalities
• Learn about new Amazon technologies and create proposals to adapt to those technologies
• Conduct deep dives into anomalies and generate insights for leadership and product management
• Use customers inputs to define new data requirements
• Explain plan-over-plan differences or discrepancies between expected and actual performance
• Maintain dashboards and reporting, and address any data quality issues that arise

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

The benefits that generally apply to regular, full-time employees include:

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

At Amazon, we value people with unique backgrounds, experiences, and skillsets.

About the team

As the Fulfillment Network Planning team, we leverage big data to identify key patterns, understand root causes,