Sr. Business Intelligence Engineer , SCOT Capacity

Have you ever ordered a product on Amazon and when that box with the smile arrives you wonder how it got to you so fast? Wondered where it came from and how much it would have cost Amazon. If so, the Amazon's Capacity Team is for you.
We build systems to peer into the future and estimate the distribution of tens of millions of products every week to Amazon’s warehouses in the most cost –effective way. The Amazon Capacity team does end-to-end capacity and topology planning and optimization for Amazon's FCs world wide. This includes determining the number and placement of different types of Amazon facilities, and how they should be configured and connected. This also includes optimizing the allocation and utilization of Amazon's assets across various parts of its fulfilment network and business lines to enhance customer experience and free cash flow outcome. There are thousands of facilities ranging from million-square-foot Fulfillment Centers with thousands of robots down to inner-city Prime Now facilities fulfilling orders within hours. If you are interested in diving into a multi-discipline, high-impact space this team is for you. This team is a part of Amazon’s Supply Chain Optimization Technology (SCOT) organization. Watch this video to learn more about our organization: http://bit.ly/amazon-scot.

We are looking for an experienced and technically skilled individual to join our analytics team as a Sr. Business Intelligence Engineer (BIE). Ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer who will play a key role in enabling world-wide FC capacity and Topology planning using mathematical modeling, simulations, and data analysis. The role will also include analytical research studies as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions.

Key job responsibilities
n this role, you will be responsible for:

Defining, developing and maintaining critical business and operational metrocs reviewed on a weekly, monthly, quarterly, and annual basis

Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations

Collaborating with software development teams and research scientists to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning and econometric models.

Identifying data needs and driving data quality improvement projects.

Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA | New York, NY, USA

Basic Qualifications

- 10+ years of professional or military experience
- 5+ years of SQL experience
- 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 in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership

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 $104,300/year in our lowest geographic market up to $202,800/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.