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Description

Our PAM team owns models and services to optimize world wide Supply Chain planning. Our models influence how much inventory we will place into each warehouse and how much we will ship to the customer across North America, Europe and Japan. In close collaboration with transportation, labor planning, finance and other Supply Chain technology teams, we drive improvements in speed, cost and sustainability of our network. We are seeking Day 1 minded BIE for our team with mix of science and business knowledge to further improve our models and scale them globally.

Why Join Us:

• Autonomy and ownership to solve challenging problems that directly impact customers.

• Opportunity to work on large scale optimization problems, leveraging big data to influence WW Supply Chain planning

• Close collaboration with both Software Engineering as well as business teams

• Be part of a Day 1 startup-like team team with steep learning curve

Key job responsibilities

• Develop and implement scalable models, data solutions, and visualization metrics to enhance S&OP planning automation.

• Maintain and create new data pipelines, establishing single source of truths for operations teams.

• Lead critical process improvement initiatives, leveraging complex models to enhance S&OP planning automation.

• Collaborate with cross-functional teams to ensure alignment with business goals and objectives.

A day in the life

We are now seeking a Business Intelligence Engineer II to help us scale PAM for worldwide operations. This is a Day 1 opportunity to be part of an entrepreneurial and pioneering team building from the ground up. You will be at the forefront of building models, developing data solutions, and creating new visualization metrics to enhance S&OP activities and drive process automation. You will play a vital role in maintaining and creating new data pipelines and create new models consumed by worldwide S&OP and operation teams. If you are someone who has shown success in analyzing, diving deep in complex data, streamlining and identifying process improvement opportunities and pioneering new ways to do things, we would like to talk to you.

About the team

At Amazon Supply Chain, we power the world's fastest-growing e-commerce business and embrace the mission of being Earth’s most customer-centric company. As our business continues to expand, the customer fulfillment operations become larger and more complex each year.

Basic Qualifications

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

• Experience with data visualization using Tableau, Quicksight, or similar tools

• Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)

• Experience with scripting language (e.g., Python, Java, or R)

• Experience with SQL

• Experience with data querying or modeling with SQL

• Bachelor's degree in statistics, business analytics, data analytics, data science, computer science or related field

Preferred Qualifications

• Master's degree, or Advanced technical degree

• Knowledge of data modeling and data pipeline design

• Experience with statistical analysis, co-relation analysis

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