Business Intelligence Engineer II, Amazon Freight

Amazon; Nashville (TN); On-site; USD 89,000 - 185,000; Full time

Job summary

An innovative company is seeking a Business Intelligence Engineer to drive data insights for its growing freight business. This role offers the opportunity to work in a dynamic environment, leveraging data to enhance customer experiences and operational efficiency. You will be responsible for generating analyses, building predictive models, and translating complex data into actionable insights. If you thrive in ambiguity and are passionate about using data to shape business strategies, this position could be your next career move. Join a team that values innovation and customer-centric solutions!

Qualifications

• 3+ years of experience analyzing and interpreting data.
• Experience with data modeling, warehousing, and ETL pipelines.

Responsibilities

• Generate insightful analysis and data visualizations.
• Translate data into actionable insights for stakeholders.

Skills

Data Analysis

Data Visualization

SQL

Python

Statistical Analysis

Education

Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics

Master's degree in BI, finance, engineering, statistics, computer science, mathematics

Tools

Redshift

Oracle

NoSQL

Tableau

Quicksight

Job description

Business Intelligence Engineer II, Amazon Freight

Job ID: 2916240 | Amazon.com Services LLC

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
- Experience 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 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.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.