Business Intelligence Engineer, Fleet Maintenance Analytics, Fleet In-Life Services

Amazon • Bellevue, WA • 6h ago

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 customer's 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.

Basic Qualifications

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.

Preferred Qualifications

Master's 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 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 $117,300/year in our lowest geographic market up to $202,800/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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