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 looking for a Business Intelligence Engineer to enhance forecasting processes within Supply Chain. This role involves creating data solutions, collaborating with stakeholders, and applying advanced statistical techniques. Candidates should have a strong analytical background and proficiency with tools like SQL and AWS.

Qualifications

• Experience analyzing and communicating results to senior leadership.
• Experience with statistical analysis and programming languages.
• Experience in scripting for automation.

Responsibilities

• Develop new forecasting models.
• Build advanced visualization solutions.
• Collaborate with teams to achieve business objectives.

Skills

Data analysis

Forecasting

Collaboration

Visualization

Education

Bachelor's Degree

Master's degree in statistics or data science

Tools

Python

SQL

AWS

Job description

Business Intelligence Engineer , North America Network Sales and Operations planning

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Business Intelligence Engineer , North America Network Sales and Operations planning

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Description

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.

Description

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.

Basic Qualifications

• 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
  
  

Preferred Qualifications

• 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.


Company - Amazon.com Services LLC

Job ID: A3003247

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Strategy/Planning, Analyst, and Information Technology

• Industries

  Software Development

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