Description

The Sales and Operations Planning (S&OP) team plays a pivotal role in forecasting inventory flows across various countries. We manage everything from what Amazon receives from vendors and sellers to what it ships from our Fulfillment Centers (FCs). Our responsibilities also include measuring S&OP performance and driving continuous improvement in planning processes for local networks, with a focus on reliability, speed, cost, and sustainability. We collaborate closely with Supply Chain Optimization Technology (SCOT) teams in North America and internal tech stakeholders across Transportation, Labor Planning, and Finance teams. As part of S&OP, the Planning Automation Modules (PAM) team is currently revolutionizing the way S&OP generate plans, building a dedicated infrastructure to support the S&OP process at a global scale. This includes platforms to run complex optimization models on-demand in a fast and scalable ways. The current version of PAM is already in use in North America and Europe and used to plan inventory flows across more than 300 FCs globally.

Why Join Us:

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

• Critical role in driving decision-making for WW Operation teams.

• Opportunity to work at the forefront of business intelligence, leveraging complex data for operational excellence.

• Be part of a dynamic team committed to continuous improvement and innovation.

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.

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:

1. Medical, Dental, and Vision Coverage

2. Maternity and Parental Leave Options

3. Paid Time Off (PTO)

4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

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

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

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

• 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

• Knowledge of SQL and data warehousing concepts

• 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

• Bachelor's Degree in sciences, engineering, finance or equivalent

Preferred Qualifications

• Master's degree in sciences, engineering, finance or equivalent

• Experience in Supply Chain Management/Operations Research

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.