Remote Project Cost Forecasting Analyst

SOLV Energy

Iowa (LA)

On-site

USD 77,866 - 97,333

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision insurance
401(k) plan
Paid vacation, sick, and holidays

Job summary

SOLV Energy is seeking a Project Cost Controls Analyst for a fully remote role with periodic travel to site (up to 25%). You will build cost forecasts, analyze cost drivers, and develop actionable insights for project leadership.

Responsibilities include maintaining internal controls, forecasting, and presenting executive-ready analyses that guide decision-making and efficiency improvements across solar, storage, and high voltage substation projects.

Qualifications

  • Bachelor’s degree or higher in a relevant analytical field.
  • Experience with cost controls, FP&A, or data-driven roles.
  • Proficiency in Excel; experience with Power BI, Python, and/or SQL preferred.
  • Ability to translate data into business insights for senior leadership.

Responsibilities

  • Build and maintain project-level cost forecasts and monitor cost drivers, risks, and opportunities.
  • Implement analytics models to forecast future project cost based on historical data.
  • Assist with budget mapping and ensure fiscal accuracy across the department.
  • Analyze performance trends and variance drivers across cost, schedule, and resources.
  • Develop and maintain cost tracking and reporting systems for operational reporting.

Skills

Analytical thinking
Problem solving
Strong communicator
Presentation skills
Structured modeling

Education

Bachelor’s degree in Engineering, Finance, Economics, Data Science, or related analytics

Tools

Power BI
Python
SQL
Microsoft Excel

Job description

SOLV Energy is seeking a Project Cost Controls Analyst for a fully remote role with periodic travel to site (up to 25%). You will build cost forecasts, analyze cost drivers, and develop actionable insights for project leadership.

Responsibilities include maintaining internal controls, forecasting, and presenting executive-ready analyses that guide decision-making and efficiency improvements across solar, storage, and high voltage substation projects.

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