EV Cost & Financial Analyst

AlphaGov delivers public-sector consulting for cities, counties, school systems, special districts, utilities, and related agencies. Our work spans classification and compensation, organizational and operational studies, research and program evaluation, economic and workforce analysis, surveys and community research, and applied data and infrastructure research.

We engage experienced practitioners as project-based collaborators. Engagements are remote-first with occasional client travel. When you authorize it, AlphaGov may name you as an expert collaborator or key personnel on proposals that match your expertise. We build ready teams for live pursuits — not speculative staffing banks.

AlphaGov is engaging an EV Cost and Financial Analyst for current public-sector fleet and charging studies. You will build lifecycle cost and total cost of ownership models that help agencies compare gasoline, diesel, and electric options and set realistic capital and operating budgets.

We confirm scope, schedule, and fee with you before any engagement begins.

What you'll do

• Build total cost of ownership and lifecycle cost models for light-, medium-, and heavy-duty electrification
• Compare vehicle, charger, electrical upgrade, energy, maintenance, and residual-value scenarios
• Incorporate utility rates, demand charges, incentives, and tax credits into agency-ready analyses
• Translate model results into clear tables, charts, and decision briefs for finance and operations leaders
• Stress-test assumptions (mileage, energy price, incentive timing) and document sensitivity ranges
• Support proposal cost narratives and study appendices when naming is authorized
• Contribute qualifications and past-performance narrative to AlphaGov proposals when you authorize naming

Apply to be considered.

Required

• Demonstrated experience building TCO, lifecycle cost, or capital/operating cost models for fleets or energy projects
• Working knowledge of EV energy costs, demand charges, incentives, and vehicle residual-value assumptions
• Strong Excel or comparable modeling skills and clear written explanation of methods and results
• Comfortable as a 1099 project-based consultant, remote-first with occasional client meetings

Nice to have

• Public-sector fleet, transit, or EV charging cost-study experience
• Familiarity with NEVI, CFI, VW, IRA, or state clean-fleet incentive stacking in financial models
• Experience presenting cost findings to finance directors, city managers, or elected boards