Have you ever ordered a product on Amazon and, when that box with the smile arrived, wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon? If so, the Amazon Supply Chain Optimization Technology (SCOT) organization is for you. SCOT offers a unique opportunity to create and see the direct impact of your work on billions of dollars’ worth of inventory, within one of the world’s most advanced supply chains, at a massive scale.

Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot

At the center of SCOT is our lab team. We own large-scale, in-production A/B testing systems to drive innovation in production systems. Inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assign it to the best warehouses to fulfill customer demand, optimizing long-term free cash flow for Amazon. Our experimentation platform is critical in driving continued optimizations to the many algorithms behind Amazon’s worldwide supply chain. We are hiring and are especially looking for Business Intelligence Engineers (BIE).

Finally, here are some more reasons you might find this opportunity exciting:

Being part of a team that is at the heart of the most sophisticated supply chain and decision-making system on the planet.
Working at the intersection of analytics, science, and engineering to impact the Amazon user experience (by helping supply chain teams run experiments that allow for speed and same-day availability, for example), saving hundreds of millions of dollars using cutting-edge science and technology along the way.
Being part of a team that values creativity and welcomes outside-the-box thinking (thinking big!).
Being part of a team with a high emphasis on a positive work culture of collaboration.
Being part of a fast-growing team with many growth opportunities.


Key job responsibilities
As a Business Intelligence Engineer in SCOT Lab, you will solve real-world problems by analyzing large amounts of business data, defining new metrics and business cases, designing experiments, creating models, and collaborating with teammates in business, software, and research. The successful candidate will have a strong analytical background and can thrive in an environment that leverages statistics, machine learning, operations research, and business analysis. As a BIE in the SCOT Lab team, you will work closely with some of the brightest software engineers, scientists, economists, and product managers to solve highly complex supply chain challenges.

BASIC QUALIFICATIONS

- 2+ 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 writing complex SQL queries
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

PREFERRED QUALIFICATIONS

- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Having knowledge of information retrieval, data science, machine learning, and data mining.

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.

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.