Business Intelligence Engineer II - Amazon Freight

Description

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/portfolio ensures our Customer’s 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. In doing this, Amazon is deeply studying customer shipping needs and building innovative, market-leading solutions that will organically attract customers towards our services.

We are seeking a Business Intelligence Engineer who is passionate about leveraging data to deliver actionable insights for Amazon Freight. Our ideal candidate is someone who has strong technical and analytical skills, enjoys building a new business and the ambiguity that comes with that. You should thrive and succeed in an entrepreneurial environment and won't be hindered by ambiguity. If you enjoy innovating, thinking big and want to contribute directly to the success of an industry changing business, you may be a prime candidate for this position.

Key job responsibilities
- 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 areas of opportunity 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

Basic Qualifications

- 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, NoSQL 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

Preferred Qualifications

- 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, NoSQL 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

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 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.

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&D 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 https://amazon.jobs/en/benefits.