Program Analyst

Amerit Fleet Solutions, one of the leading Fleet Maintenance companies in the U.S., is seeking an experienced Program Analyst to join our growing team. This role is critical to transforming complex operational and financial data into actionable business insights that directly drive cost control, service excellence, and strategic decision-making for our National Account Services (NAS) portfolio.

The ideal candidate is a technically sophisticated AI-savvy analyst with a proven track record of leveraging diverse data platforms, building automated pipelines, and delivering high-impact analytics. You will combine advanced Excel/SQL/Power BI skills with modern AI tools (including Claude, Snowflake, and other LLMs/ML platforms) to create real-time reporting, predictive models, anomaly detection, and automated classification systems. Strong communication skills, executive presence, and a passion for fleet operations are essential.

This high-visibility role reports into senior leadership, supports executive business reviews and working sessions, and has broad exposure to C-level stakeholders. Success in this position will directly influence fleet retirement strategies, budget performance, and the future of service delivery at Amerit.

• Maintain and evolve forecasting models. Continuously improve accuracy using predictive analytics and AI-enhanced techniques.• Lead WIP tracking, out-of-budget vs. in-budget analysis, repair class assignment analysis, and reporting. Develop automated tools for RO classification and exception handling.• Perform ongoing deep-dive root cause and Pareto analysis on key operational metrics and major spend drivers.• Analyze fleet age, mileage, and cost trends to deliver proactive retirement and replacement recommendations. Conduct high-mileage unit profiling, cost modeling by age bracket, and unit replacement analysis.• Reconcile data across multiple systems (repair order systems, telematics, BI/analytics platforms, and others) and build dashboards to track leading indicators of cost and performance issues.• Create polished executive-level data bridges, tables, charts, and graphs for business review decks, and working session materials that clearly communicate performance, insights, and recommended actions.• Build and maintain AI-powered reporting and analytics solutions, including automated tools for repair classification, predictive spend models, anomaly detection dashboards, and real-time alerting tools to surface emerging issues early.• Design and optimize automated data pipelines, complex SQL queries, VBA/macros, and scalable reporting solutions using tools including but not limited to Excel, Power BI, Tableau, DOMO, QuickSight, Fleetio, etc.• Partner with operations, finance, and account teams to identify process improvements, drive implementation, and deliver measurable business outcomes.• Proactively identify opportunities to leverage AI/LLM technologies (Claude, Snowflake, etc.) and other tools to enhance customer experience, reduce costs, and improve decision speed.

BASIC QUALIFICATIONS• Bachelor’s degree in Supply Chain, Operations, Engineering, Analytics, or related field (advanced degree preferred)• 5+ years of experience in business/financial analysis, data analytics, or quantitative roles, preferably in fleet, logistics, or operations• Exceptional proficiency in Excel (advanced formulas, VBA, Power Query), SQL, and BI tools (Power BI, Tableau, DOMO, QuickSight)• Demonstrated experience building and maintaining forecasting models, regression/statistical models, and KPIs• Proven ability to perform root cause analysis, Pareto charting, and deep-dive cost/performance investigations• Experience creating executive-level presentations (PowerPoint) and influencing stakeholders• Passion for fleet operations and customer-focused problem solving

PREFERRED QUALIFICATIONS• 5+ years as a Business Analyst, Data Analyst, or Data Engineer• Hands-on experience with AI and machine learning tools including LLMs (Claude, etc.), Snowflake, predictive modeling, anomaly detection, and automated classification systems• Experience building real-time dashboards, predictive spend models, and AI-enhanced reporting solutions• Deep understanding of fleet maintenance, vehicle lifecycle management, and cost drivers• Familiarity with fleet management platforms, computerized maintenance management systems, and telematics/ERP platforms• Experience with data warehousing, data modeling, and cross-system reconciliation• Statistical modeling experience (R, Python, or similar toolboxes)

This is a high-impact role for a data-driven problem solver who thrives on turning complex data into clear, executive-ready insights and building next-generation AI-powered analytics tools. If you are excited by the challenge of owning critical forecasting, budget analytics, and fleet optimization workstreams while leveraging cutting-edge AI technologies, we encourage you to apply.

INDHB