Business Intelligence Engineer II, Freight

Are you looking to build and scale a new and growing business with Amazon? If so, you might be interested in this role with Amazon Freight.

Amazon Freight is a startup business within Amazon focused on developing an industry‑leading transportation offering to provide external freight customers access to the world‑class network and freight services currently used to facilitate Amazon’s own freight movements. Our freight offerings ensure our customers’ freight is moved with the highest level of service and quality at a competitive price across multiple modes of transportation, including truckload, less‑than‑truckload, and intermodal.

We are seeking a Business Intelligence Engineer who is passionate about leveraging data to deliver actionable insights for Amazon Freight. The ideal candidate has strong technical and analytical skills, enjoys building a new business, and thrives in an entrepreneurial environment.

• Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance.
• Translate data into actionable insights for stakeholders while proactively identifying new opportunities to drive further improvements.
• Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models.
• Work backwards from your end‑customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

• Bachelor’s degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field.
• 3+ years of analyzing and interpreting data with Redshift, Oracle, No
  
  SQL, etc. experience.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
• Experience in Statistical Analysis packages such as R, SAS and Matlab.

• Master’s degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field.
• 5+ years of analyzing and interpreting data with Redshift, Oracle, No
  
  SQL, etc. experience.
• Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred).
• Experience in data mining, ETL, etc. and using databases in a business environment with large‑scale, complex datasets.
• 1+ years of managing, analyzing and communicating results to senior leadership.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &AD&DD insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at .

USA, GA, Atlanta - 99,500. USD annually

USA, WA, Bellevue - 99,500. USD annually

Company:  LLC

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