Business Intelligence Engineer, Fleet Maintenance Analytics, Fleet In-Life Services
Business Intelligence Engineer, Fleet Maintenance Analytics, Fleet In-Life Services
Posted on :
10-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Amazon is seeking an analytical driven and detail-oriented Business Intelligence Engineer (BIE) to build the data foundation and insights engine for the Fleet Maintenance Audit & Risk Program. You will partner closely with Product Tech Finance and Operations teams to design robust data solutions that help detect anomalies mitigate fraud improve vendor performance and drive controllership across Last Mile fleet maintenance.
This role is an exciting opportunity to help build an audit program from the ground up leveraging advanced analytics and scalable data infrastructure to surface risks track performance and enable better decision-making across the Last Mile fleet ecosystem.
Key job responsibilities
- Partner with Product Managers to define key metrics and thresholds for detecting outliers cost anomalies and fraudulent behavior in Maintenance and Repair (M&R) data.
- Design and implement data pipelines ETL processes and data models to support audit workflows and operational dashboards.
- Build interactive dashboards and visualizations (using Tableau QuickSight etc.) to monitor vendor performance compliance adherence and fleet M&R trends.
- Conduct deep-dives and root cause analyses using large datasets to identify inefficiencies and improvement opportunities.
- Automate and standardize KPI reporting ensuring data accuracy and timely delivery.
- Leverage AWS services (e.g. Redshift Glue Lambda S3) to build scalable and secure analytics solutions.
- Support experimentation and simulation efforts to evaluate changes in process pricing or vendor behavior using statistical techniques.
About the team
Amazon Logistics mission is to provide the best last mile customer experience delivering each package to the customers doorstep through a choice of innovative delivery options. To provide this customer experience Amazon Logistics works closely with Last Mile Delivery Service Partners who operate and manage a fleet of vehicles and drivers. Fleet maintenance is a significant area of opportunity as current options are often inefficient ineffective and more expensive than they should be. To mitigate these challenges we are developing and launching transformative programs to ease the burden of fleet maintenance on our Delivery Service Providers.
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with statistical analytics and programming languages such as R Python Ruby etc.
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience building measures and metrics and developing reporting solutions
- Experience in the data/BI space
- Proven ability to distill complex data into clear insights and recommendations.
- Masters degree in statistics data science or an equivalent quantitative field
- Experience using Cloud Storage and Computing technologies such as AWS Redshift S3 Hadoop etc.
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 $117300/year in our lowest geographic market up to $202800/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.
This role is an exciting opportunity to help build an audit program from the ground up leveraging advanced analytics and scalable data infrastructure to surface risks track performance and enable better decision-making across the Last Mile fleet ecosystem.
Key job responsibilities
- Partner with Product Managers to define key metrics and thresholds for detecting outliers cost anomalies and fraudulent behavior in Maintenance and Repair (M&R) data.
- Design and implement data pipelines ETL processes and data models to support audit workflows and operational dashboards.
- Build interactive dashboards and visualizations (using Tableau QuickSight etc.) to monitor vendor performance compliance adherence and fleet M&R trends.
- Conduct deep-dives and root cause analyses using large datasets to identify inefficiencies and improvement opportunities.
- Automate and standardize KPI reporting ensuring data accuracy and timely delivery.
- Leverage AWS services (e.g. Redshift Glue Lambda S3) to build scalable and secure analytics solutions.
- Support experimentation and simulation efforts to evaluate changes in process pricing or vendor behavior using statistical techniques.
About the team
Amazon Logistics mission is to provide the best last mile customer experience delivering each package to the customers doorstep through a choice of innovative delivery options. To provide this customer experience Amazon Logistics works closely with Last Mile Delivery Service Partners who operate and manage a fleet of vehicles and drivers. Fleet maintenance is a significant area of opportunity as current options are often inefficient ineffective and more expensive than they should be. To mitigate these challenges we are developing and launching transformative programs to ease the burden of fleet maintenance on our Delivery Service Providers.
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with statistical analytics and programming languages such as R Python Ruby etc.
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience building measures and metrics and developing reporting solutions
- Experience in the data/BI space
- Proven ability to distill complex data into clear insights and recommendations.
- Masters degree in statistics data science or an equivalent quantitative field
- Experience using Cloud Storage and Computing technologies such as AWS Redshift S3 Hadoop etc.
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 $117300/year in our lowest geographic market up to $202800/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
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
