Remote Project Cost Forecasting Analyst

SOLV Energy; Kansas; On-site; USD 77,866 - 97,333; Full time

Job summary

SOLV Energy is seeking a Project Cost Controls Analyst to deliver data-driven financial analysis supporting decision-making, performance tracking, and forecasting across solar, storage, and substation projects. This role is fully remote with periodic site travel up to 25%.

You will build project-level cost forecasts, monitor cost drivers, support internal controls, and synthesize data into executive-ready insights to guide cost optimization and strategic decisions.

Qualifications

• Bachelor’s degree in Engineering, Finance, Economics, Data Science, or a related analytical field.
• 1–3 years of experience in project controls, FP&A, or data-driven roles.
• Proficiency in Microsoft Excel; experience with Power BI, Python, and/or SQL highly preferred.

Responsibilities

• Build and maintain project-level cost forecasts with project managers and field operations.
• Assist in internal controls over financial reporting to ensure SOX compliance.
• Implement analytics models to forecast future project cost based on historical data.
• Assist with the budget mapping process for fiscal accuracy.
• Analyze project performance trends and root-cause analyses for deviations.
• Develop and maintain cost tracking and reporting systems for accurate operations reporting.

Skills

Excel

Power BI

Python

SQL

Data analysis

Communication

Presentation decks

Cost forecasting

Education

Bachelor’s degree in Engineering/Finance/Economics/Data Science

Tools

Power BI

SQL

Python

Job description

SOLV Energy is seeking a Project Cost Controls Analyst to deliver data-driven financial analysis supporting decision-making, performance tracking, and forecasting across solar, storage, and substation projects. This role is fully remote with periodic site travel up to 25%.

You will build project-level cost forecasts, monitor cost drivers, support internal controls, and synthesize data into executive-ready insights to guide cost optimization and strategic decisions.