Business Intelligence Engineer, Relay Mobile

It’s no secret that Amazon relies on its technology to deliver millions of packages every day to its customers – on time, with low cost. The Middle Mile Transportation Technology organization, builds complex software solutions that work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers, owner operators and drivers worldwide, manage business rules for millions of unique products, and improve ordering and delivery experience for millions of online shoppers. That said, this remains a fast growing business and our technical journey has only started. With rapid expansion into new geographies, innovations in supply chain, unique delivery models for products ranging from Amazon Fresh groceries, ultra-fast Prime Now deliveries of big-screen TV’s, increasingly complex transportation network, and growing number of shipments worldwide, we see a brand new opportunity to fundamentally change the way people get the stuff they need, and make a big impact by cutting billions of dollars of transportation costs from the ecosystem. Our mission is to build the most efficient and optimal transportation solution on the planet, using our technology and engineering muscle as our biggest advantage. We aim to leverage cutting edge technologies in big data, machine learning, optimization techniques, and operate high volume, low latency, and high availability services.

Are you interested in diving deep into data to understand business opportunities across multiple business lines and geographies? This role will partner with product managers, operations, and technical teams to provide the data and analyses needed to influence product roadmaps. Do you have a track record of using data to influence decision makers? Do you have effective problem solving skills and want to solve problems that will meet the growing worldwide need? Then the Middle Mile Transportation Technology is the right team for you

You will be working in one of the world's largest and most complex data warehouse environments. You’ll employ data analysis to ensure your partners and leaders have the most up to date, reliable information, working collaboratively to make the best possible roadmap decisions. You’ll make a huge impact, not just on the bottom line performance of the network, but on the overall customer experience, making history whilst having fun along the way! 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. We are looking for innovators to be a sophisticated user of data querying tools, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.

Above all, you should be passionate about bringing large datasets together to answer business questions and drive change. Being curious, detail oriented, and comfortable finding information and performing tasks that haven't been done before will be the norm.

Key job responsibilities
-Develop a deep understanding of Amazon Middle Mile Tech and operations.
-Deep dive into large data sets to answer key business questions using SQL, Excel, and other data manipulation languages.
-Perform complex data research to identify new opportunities that improve efficiencies and customer experience in supporting business decision making
-Systematically identify data source/forecast error and follow through on the resolutions to ensure that future plans are updated with improved business processes
-Ability to perform/own reoccurring and ad-hoc business intelligence projects
-Communicate complex insights to stakeholders, both verbally and in writing

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 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

- 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

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.