At Amazon, we're working to be the most Customer-centric company on earth. One customer experience that we're constantly looking to take to a new level is how we fulfill and deliver their orders. Our goal is to exceed the expectations of all our customers by ensuring that their orders, no matter how large or small are delivered where and when they need them, as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class service levels through the introduction of pioneering new products and services in the last mile delivery space. We are doing this by building a world class last mile operation, significantly complimented by Amazon Flex. Amazon Flex works directly with independent contractors - called delivery partners - to make deliveries to our customers. With Amazon Flex, individuals can now be their own boss delivering Amazon packages.

NA Flex SCALE team is seeking a Business Intelligence Engineer with expertise and passion in working with large data sets, data visualization, experience bringing data from disparate data stores to programmatically identify patterns in the data. You should have deep expertise in the design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with customers 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 disparate storage systems into centralized data store and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about working with large data sets and someone who loves to bring both structured and unstructured datasets together to answer business questions and drive change.

Key job responsibilities

- Design, implement and support a system that can provide ad-hoc access to large datasets.

- Interface with business customers, gathering requirements and delivering complete insightful solutions.

- Tune application and query performance using SQL

- Partner/Collaborate across teams/roles to deliver results.

- Be responsible for overall reporting models, schedules, reliability, and performance.

A day in the life

Work with the NA Flex operations team and support the BI and Analytics needs for the different businesses across Flex.

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

Bellevue, WA, 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 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. 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 $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.

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