Business Intelligence Engineer, North America Surface Transportation
Business Intelligence Engineer, North America Surface Transportation
Posted on :
22-08-2025
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1 Vacancy
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Job Description
North America Surface Transportation is looking for an innovative results-oriented and strategic Business Intelligence Engineer (BIE) individual who is comfortable diving into complex problems and can develop solutions to recommend business decisions. The person in this role will have an organization-wide view of analytical solutions and you consistently think in terms of automating or expanding the results this role you will conduct analytics using SQL and Python and build lightweight tools and methods for others to replicate and scale their this role you will deal with large and complex data sets build self-service dashboards and use visualization tools especially QuickSight.
Key job responsibilities
- Design build and maintain automated reporting dashboards (especially QuickSight) and analyses to enable our team to self-service of data needs allowing you to focus on answering hard and ambiguous problems.
- Write high-quality SQL queries to retrieve and analyze data from database tables (ex. Redshift MySQL Oracle).
- Break down and solve complex problems while actively engaging with internal partners throughout the organization to meet and exceed customer service levels & transportation-related KPIs.
- Recognize and adopt best practices in reporting/analysis: data integrity test design validation and documentation while driving scalable solutions.
- Understand data resources and know how when and which to use (and which not to use).
- Continue to move forward in the face of ambiguity and imperfect data. Find a solution around the problem that still maintains a high analytical bar. You do not suffer from analysis paralysis.
- Communicate analysis results and techniques both verbally and in writing clearly and confidently to peers and business partners.
- Explain analysis results to the stakeholders through verbal and written communications.
About the team
Our vision centers on revolutionizing surface transportation through the power of adaptive technology and real-time responsiveness. By implementing data-driven solutions and intelligent automation were building a network that proactively adjusts to changing conditions and customer needs. This dynamic approach enables us to minimize delays optimize routes and consistently deliver exceptional service. Through continuous monitoring and analysis of performance metrics were making informed decisions that enhance efficiency and reliability across our operations. Every optimization contributes to faster delivery times and strengthens customer confidence ultimately establishing our network as the industrys most trusted and efficient transportation solution.
- 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 in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- 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 for more information. If the country/region youre applying in isnt 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 $89600/year in our lowest geographic market up to $185000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
- Design build and maintain automated reporting dashboards (especially QuickSight) and analyses to enable our team to self-service of data needs allowing you to focus on answering hard and ambiguous problems.
- Write high-quality SQL queries to retrieve and analyze data from database tables (ex. Redshift MySQL Oracle).
- Break down and solve complex problems while actively engaging with internal partners throughout the organization to meet and exceed customer service levels & transportation-related KPIs.
- Recognize and adopt best practices in reporting/analysis: data integrity test design validation and documentation while driving scalable solutions.
- Understand data resources and know how when and which to use (and which not to use).
- Continue to move forward in the face of ambiguity and imperfect data. Find a solution around the problem that still maintains a high analytical bar. You do not suffer from analysis paralysis.
- Communicate analysis results and techniques both verbally and in writing clearly and confidently to peers and business partners.
- Explain analysis results to the stakeholders through verbal and written communications.
About the team
Our vision centers on revolutionizing surface transportation through the power of adaptive technology and real-time responsiveness. By implementing data-driven solutions and intelligent automation were building a network that proactively adjusts to changing conditions and customer needs. This dynamic approach enables us to minimize delays optimize routes and consistently deliver exceptional service. Through continuous monitoring and analysis of performance metrics were making informed decisions that enhance efficiency and reliability across our operations. Every optimization contributes to faster delivery times and strengthens customer confidence ultimately establishing our network as the industrys most trusted and efficient transportation solution.
- 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 in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- 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 for more information. If the country/region youre applying in isnt 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 $89600/year in our lowest geographic market up to $185000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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