Business Intelligence Engineer , North America Network Sales and Operations planning

Amazon; New York (NY); On-site; USD 89,000 - 185,000; Full time

Job summary

Amazon is seeking a Business Intelligence Engineer for its North America Network Sales and Operations Planning team. This role involves developing forecasting models, collaborating with multiple teams, and leveraging advanced data analysis and visualization techniques. The ideal candidate will have a strong background in SQL and Python, with a Master's degree in a quantitative field being preferred. Join a pioneering team committed to improving customer fulfillment operations in a dynamic e-commerce environment.

Qualifications

• 3+ years of SQL experience.
• Experience with statistical analysis and programming languages such as R and Python.
• Experience collaborating with business stakeholders.

Responsibilities

• Develop new forecasting models.
• Build advanced visualization solutions for stakeholders.
• Collaborate across multiple teams to align with business goals.

Skills

SQL

Python

Statistical analysis

Data visualization

Scripting for automation

Education

Bachelor's Degree

Master's degree in statistics, data science, or equivalent

Tools

AWS Redshift

AWS S3

Hadoop

Job description

Business Intelligence Engineer , North America Network Sales and Operations planning

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.

We are now seeking a Business Intelligence Engineer to be part of a 2-3 person analytical group within the network S&OP team. This is a Day 1 opportunity to be part of an entrepreneurial and pioneering team building from the ground up. You will research forecasting techniques, deep dive existing data sources to build new models to improve forecasting accuracy. You will also develop data solutions and advanced visualization techniques to offer forecast analysis to senior stakeholders (up to SVP). You will collaborate with business, product management, and engineering teams to drive progress.

Key job responsibilities
- Develop new forecasting models
- Build advanced visualization solutions to allow business and tech stakeholders to deep dive and understand the teams forecasts.
- Collaborate across multiple teams to ensure alignment with business goals and objectives.

About the team
The Network Sales and Operations Planning (S&OP) team forecasts all inventory flows across the entire North America Fulfillment network. We manage everything from what Amazon receives from vendors and sellers to what it ships from our Fulfillment Centers (FCs). The network S&OP forecast is the starting point of a weekly planning process spanning first, middle mile, last mile and defining the amount of resources (trucks, labor) that need to be secured to ensure we fulfill our customer orders at the highest speed, best quality, lowest cost and least carbon intensity as possible. We partner closely with Supply Chain Optimization Technology (SCOT) teams in North America and internal tech stakeholders across Transportation, Labor Planning and Finance teams to reconcile bottom-up and top-down inputs to build analytical forecasts which are accurate and provide valuable insight. We also partner with Supply Chain Execution (SCE) teams as well as Science partners to define the optimal allocation under constraints of volumes across the 9 Regions of the US fulfillment network.

- Bachelor's Degree
- Experience analyzing and communicating results to senior leadership
- Experience working directly with business stakeholders to translate between data and business needs
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies

- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- 3+ years of SQL experience
- Master's degree in statistics, data science, or an equivalent quantitative field

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.

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.