• Define the vision for Business Intelligence and build scalable analytics capabilities • Establish a consistent, data-driven operating model • Connect operational and product metrics with financial outcomes • Help business leaders make better strategic, commercial, and product decisions • Review and reshape the current Data Science, Business Analytics, and BI functions • Establish an ongoing business modeling approach across all business units and projects • Strengthen and further develop the current agile BI department • Launch a data-driven framework for evaluating new product features • Review the current reporting landscape and build KPI reporting structure • Support business leaders in cascading KPIs to their teams • Build stronger connections between commercial, product, finance, and analytics teams • Drive a company-wide approach to decision-making based on reliable data

• Own the Reporting & Analytics Function • Establish standards for reporting, dashboards, and metrics • Drive continuous improvement of reporting capabilities • Design, develop, test, and maintain reports and dashboards • Proactively analyze organizational data to identify trends and opportunities

• Create and maintain dataflows and datasets in the Power BI Service environment; • Develop/model databases for dashboards and reports; • Document the processes developed; • Elicit and understand database and variable requirements from the business; • Perform data analysis in the Power BI environment together with business users (business area).

Role Description A Machine Intelligence Analyst focuses on utilizing advanced data analysis, artificial intelligence (AI), and machine learning (ML) to improve the performance, safety, and efficiency of heavy equipment. This role bridges the gap between raw telematics data—collected from sensors and CAN bus/Modbus systems—and actionable business intelligence by automating reporting and alerting to drive predictive maintenance, fuel savings, and operational optimization. Position Responsibilities: - Predictive Maintenance & Diagnostics: Analyze sensor data (vibration, temperature, hydraulic pressure) to predict equipment failure, reducing downtime and lowering maintenance costs. - Telematics & Data Engineering: Extract, clean, and analyze raw data from CAN bus, Modbus, and GPS systems to monitor fleet health and location in real time. - Performance Optimization: Develop AI/ML models to improve fuel efficiency and optimize workflows (e.g., automated scheduling). - Automated Alerting & Reporting: Create automated dashboards and proactive alerts for operators/managers regarding abnormal machine behavior. - Operational Safety: Utilize ML to identify unsafe operator behavior (e.g., sudden braking, excessive idling) and ensure compliance with regulatory standards. Qualifications - Bachelor’s degree in data science, Engineering, Computer Science, or a related field; advanced degrees are often preferred for senior analyst roles. - Prior experience in the heavy civil construction or mining industries is highly desirable to understand specific machine behaviors and job site logic. - Strong problem-solving mindset and the ability to communicate technical findings to non-technical stakeholders, such as fleet managers and maintenance crews. Requirements - Develop and refine AI/ML models to identify anomalies in equipment performance (e.g., vibration spikes, temperature fluctuations) to predict failures before they occur. - Analyze machine utilization and idle time to recommend better asset allocation and reduce unnecessary operational costs. - Use AI to flag risky operator behaviors—such as harsh braking or overloading—and automate reporting for regulatory standards like OSHA. - Monitor consumption patterns and identify inefficient operating habits to drive fuel savings, often targeting reductions of up to 15%. - Build and maintain dashboards that provide real-time alerts for critical issues like engine faults or unauthorized equipment movement (geo-fencing). Benefits - Health, Dental and Vision plans - 401(k) Match - Volunteer time off - Short-term and long-term disability - Accident, Life and Travel insurance, as well as flexible spending - Tuition Reimbursement Options - Employee Assistance Program (EAP) - Length of Service Awards You will become eligible for benefits on the first of the month following 30 days from your start date. Sunbelt offers team members the following paid time off from work, subject to Sunbelt’s policies (unless specified in a collective bargaining agreement): - 12-25 vacation days depending on years of service - 5 sick days - 6 holidays - 2 half day holidays - 2 floating holidays - 1 inclusion day - 1 volunteer day Company Description Sunbelt Rentals strives to be the customer's first choice in the equipment rental industry. From pumps to scaffolding to general construction tools, we aim to be the only call needed to outfit a job site with the proper equipment. Not only do we offer a vast fleet that ranks among the best in the industry, we pair it all with a friendly and knowledgeable staff. Our employees are our greatest asset, and although we present a comprehensive equipment offering, our expertise and service are what truly distinguish us from the competition. We pride ourselves on investing in our workforce and offer competitive benefits, as well as extensive on-the-job training for all eligible employees. Sunbelt Rentals is an Equal Opportunity Employer — Minority/Female/Disabled/Veteran and any other protected ground. Base Pay Range: $64,790.40 - 89,086.80. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. Sunbelt Rentals supports service members. Veterans encouraged to apply.