Description

　　At Amazon, we're working to be the most customer-centric company on earth. Amazon’s Last Mile Driver Training & Program (DT&P) team supports this vision by providing training and continuous improvement opportunities to all the delivery associates hired in the NA network. Every year, we train thousands of delivery associates who play the vital role in providing the best customer experience by delivering the packages to their door step. This process generates an enormous amount of data, and the DT&P team is looking for a smart and ambitious individual with strong analytical skills and technology experience who can help us derive business insights as a business intelligence engineer (BIE).

　　The BIE position will play a critical role in identifying and supporting the strategic initiatives that will form the next generation of training programs for our delivery associates. The potential candidate will contribute to the success of the training programs by creating metrics, reports and automated mechanisms to drive continuous improvement with actionable insights. The BIE will partner with internal stakeholders across organization including On Road Staffing, HR, Health & Safety, Field Operations, Training Execution and other key stakeholders to analyze the impact of training program on the overall performance of the business.

　　As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. The potential candidate will explore and utilize generative BI and machine learning solutions to innovate and find most efficient solution for complex business problems.

　　Above all you should be passionate about bringing large datasets together to answer business questions and drive change.

　　Key job responsibilities

　　Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end business intelligence solutions.

　　Analyze and visualize large scale geo-spatial process adherence and performance data to articulate user behavior or process problems to support successful execution of the programs.

　　Serve as liaison between business and technical teams to achieve the goal of providing timely and actionable insights into current business performance. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.

　　Partner with data engineers to identify the source of data and create a data pipeline to collect necessary business inputs to deliver the analytical product.

　　Support training program pilot studies by building robust pilot analyses plan, data collection processes, and analyzing the output to deliver final recommendations.

　　Utilize predictive analytics, machine learning and generative BI tools to continuously improve the quality of the analytics products and effectiveness of the business insights

　　Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.

　　About the team

　　This role is within Amazon Logistics (AMZL) Driver Training and Program (DT&P) team. This team is an integral part of AMZL NA network and delivers onboarding/continuous education trainings to all delivery associates across various mode of transportation – Delivery Van, E-bike, Walker, etc. The analytics team within the DT&P provides actionable business insights to the organization and strives to partner in success of all parts of AMZL through enabling timely and data driven decision making. The analytics team supports internal customers including program development, operations, senior management, etc. through monitoring compliance, capacity and performance of all driver training programs.

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

　　Bellevue, WA, USA | Nashville, TN, USA

　　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 writing complex SQL queries

　　Experience in Statistical Analysis packages such as R, SAS and Matlab

　　Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

　　Preferred Qualifications

　　Bachelor's degree in sciences, engineering, finance or equivalent

　　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

　　Experience with forecasting and statistical analysis

　　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 $79,600/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.