Business Intelligence Engineer, Flex Analytics Services, Inc.
 Bellevue, WA


Job summary

At Amazon Logistics we are 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. Amazon Flex is powered by a mobile app that works in concert with our advanced logistics systems that allows delivery partners to on-board, schedule delivery times, guide them through their deliveries with in-app mapping and navigation, and more. The approach and technology are nothing short of disruptive, and promise to challenge traditional approaches, and change the way the industry operates.

We are hiring a Business Intelligence Engineer (BIE) to help us accelerate our efforts in delivering an evolving Flex business. This person will build new business intelligence solutions end-to-end. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these data sets to derive insights, answer business questions and drive growth.

Key job responsibilities

The primary responsibilities of this role include:

  • Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs for forecasting and pricing
  • Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals.
  • Write high quality SQL code to retrieve and analyze data from database tables (primarily Redshift), and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.
  • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.

In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross functional teams, and an ability to work in a fast paced and ever-changing environment.

Basic Qualifications

  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • 3+ years analyzing and interpreting data and experience with Redshift, Oracle, NoSQL etc.
  • Experience in writing complex SQL queries
  • Experience with data modeling, data warehousing, and building ETL pipelines
  • Bachelor's degree in Sciences, Engineering, Finance or related field
  • 2+ years of professional experience as an analyst or engineer in the data/BI space
  • Advanced knowledge of SQL and ETL processes
  • Written and verbal skills to effectively communicate to both business and technical teams, including defining business requirements and conveying key insights from complex analysis
  • Ability to work with shifting deadlines in a fast paced environment
  • Demonstrated ability to draw insights from data and clearly communicate them to both business and technical teams
  • Advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred). Develop and present recommendations of new metrics allowing better understanding of the performance of the business

Preffered Qualifications

  • Advanced degree in Sciences, Engineering, Finance or related field
  • 5+ years of professional experience as an analyst or engineer in the data/BI space
  • Experience using databases in a business environment with large-scale, complex data sets
  • Experience with AWS services (Redshift, S3)
  • Experience with forecasting and statistical analysis
  • High attention to detail and proven ability to manage multiple, competing priorities simultaneously.
  • Experience with Python

This position can also be based in Seattle/Bellevue, Austin, Dallas or Sunnyvale.

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