Role at a glance
- Salary
- $99.5K – $160K/yr
- Location
- Bellevue, Washington, United States Nashville, Tennessee, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Education
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
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Role Summary
The Business Intelligence Engineer will support Amazon's Middle Mile Transportation Technology team in building transportation solutions that optimize delivery time and cost across vendors, warehouses, carriers, owner operators, and drivers. The role works with executive leaders, engineering, science, and operations stakeholders to analyze performance, identify improvement opportunities, and move validated ideas toward production.
What You'll Do
- Generate insightful analysis, reporting, and data visualizations to answer critical business questions and communicate business performance
- Translate data into actionable insights and identify new areas of opportunity for improvements
- Apply data mining and modeling across multiple data sources to uncover insights, identify performance drivers, and build predictive models
- Define, design, and execute work items focused on improved metrics, productivity, and efficiency
- Recognize and adopt best practices in reporting and analysis, including data integrity, test design, validation, and documentation
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 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
- Experience using Python scripting to process data for modeling
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Preferred
- 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 working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Amazon's Middle Mile Transportation Technology team is chartered with building complex software solutions that work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers, owner operators and drivers worldwide, manage business rules for millions of unique products, and improve ordering and delivery experience for millions of online shoppers.
Our mission is to build the most efficient and optimal transportation solution on the planet, using our technology and engineering muscle as our biggest advantage. We aim to leverage latest technologies in big data, machine learning, and optimization techniques, and operate high volume, low latency, and high availability services.
As part of this team you will work with executive leaders, engineering, science and operations stakeholders to drive process improvement, generate ideas, validate entitlement and then produce a path to production. You’ll work in a fast-paced environment and will be required to lead not only at the strategic level, but also tactically day-to-day by diving deeply into business and technical domains. As a multi-discipline leader, the buck will stop with you - you will work as part of the engineering organization.
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
- Experience using Python scripting to process data for modeling
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience developing, deploying and managing AI products at scale
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 working directly with business stakeholders to translate between data and business needs
- 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.
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.
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USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.