EV Cost & Financial Analyst

About the role

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.

Requirements

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

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The evidence behind this listing

Workplace

Remote Employer field

Seniority

Not established

Employment type

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Location as listed

United States

Pay and work authorization

Stated pay

Not stated

Visa sponsorship

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Security clearance

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Citizenship

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