Project Finance Analyst

Salary: $1,800–$2,300 USD

Key Responsibilities

Sales Operations & Project Modeling (Front End)

• Build, update, and maintain project-level financial models in Excel for prospective and active development opportunities.
• Run return simulations and sensitivity analyses (IRR, NPV, DSCR, payback) across varying assumptions for pricing, incentives, financing, and production.
• Support the sales and origination process with pro formas, pricing scenarios, and deal summaries for internal review and client-facing materials.
• Own deal file management—organize, name, version, and maintain project documentation, contracts, and supporting data in a consistent, auditable structure.
• Prepare inputs and materials for investment and partner decision meetings.

Operational Asset Management (Back End)

• Oversee a portfolio of operating assets, tracking production, availability, and financial performance against underwritten assumptions.
• Produce recurring operational and financial reporting (monthly/quarterly) for internal stakeholders, partners, and investors.
• Maintain support criteria—compliance checklists, warranty and O&M documentation, reporting calendars, and key performance thresholds.
• Flag performance variances and support root-cause analysis and corrective actions with the operations team.
• Feed real operating results back into the modeling assumptions used for future deals.

Cross-Functional & Support

• Serve as a data and reporting resource across the project lifecycle, ensuring consistency between underwritten and actual figures.
• Continuously improve model templates, file structures, and reporting workflows.
• Support ad hoc analysis requests from the Managing Partner and deal team.

Requirements

Required Qualifications

• 2–5 years of experience in financial analysis, project finance, sales operations, or asset management—ideally in energy, infrastructure, or real estate.
• Advanced Excel and financial modeling skills (this is the core competency of the role): comfortable building models from scratch, structuring cash flows, and running scenario/sensitivity analyses.
• Strong command of financial metrics: IRR, NPV, DSCR, cash-on-cash, and payback.
• Meticulous file and data management habits; disciplined with version control and documentation.
• Exposure to clean energy, renewables, or power project development.
• Familiarity with tax incentives, PPAs, and project financing structures.