Remote Project Cost Controls & Forecasting Analyst

SOLV Energy; Town of Montana (WI); 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 and strategic analysis across projects. The role is fully remote with periodic travel to field sites up to 25% of time, with location expectations discussed during interview.

The successful candidate will build cost forecasts, monitor cost drivers, develop analytics models, and present executive-ready insights to guide decision-making and improve project performance.

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; Power BI, Python, and SQL highly preferred.
• Strong analytical and problem-solving skills with a structured approach to modeling and interpretation.
• Experience partnering with internal stakeholders to identify objectives and collaborate to achieve outcomes.

Responsibilities

• Build and maintain project-level cost forecasts by working cross-functionally with project managers and field operations.
• Monitor changes in assumptions, identify cost drivers, risks, and opportunities, and lead the monthly reporting process.
• Assist in the development, documentation, and maintenance of internal controls over financial reporting to ensure compliance with the Sarbanes-Oxley Act.
• Implement analytics models to forecast future project cost based on historical data and key project parameters.
• Assist with the budget mapping process, ensuring fiscal responsibility and accuracy across the department.
• Analyze project performance trends and identify key drivers of variance across cost, schedule, and resource usage.
• Conduct root-cause analyses on cost and schedule deviations, partnering with leadership to inform mitigation strategies and corrective actions.
• Develop and maintain cost tracking and reporting systems to ensure accurate operational reporting.
• Collaborate with project teams and stakeholders to gather cost data and provide insights into trends.
• Identify opportunities for cost savings and process improvements through analysis.
• Synthesize complex datasets into clean, compelling storylines and build executive-ready decks that highlight trends, performance metrics, and strategic recommendations.
• Translate variance drivers into clear business narratives for senior leadership.
• Engage in field improvements by visiting the field to understand challenges, provide solutions, and build trust with project teams.
• Identify risks and early warning signals using historical data, benchmarks, and trends.
• Conduct scenario planning to explore future scenarios and assess impact on project outcomes, developing contingency plans.
• Convey a data-driven story to technical and non-technical audiences around key business insights, collaborating with cross-functional partners.
• Define and analyze key metrics to manage project health, mitigate risks, demonstrate impact, and enable continuous improvement.
• Lead data quality audits and resolve coding or cost discrepancies with field teams.
• Contribute analytics to project lessons-learned reviews and portfolio trend reports.

Skills

Analytical and problem-solving skills

Experience in project controls or FP&A

Cross-functional collaboration

Presentation skills

Detail-oriented

Education

Bachelor's degree in Engineering/Finance/Economics/Data Science or related analytical field

Tools

Microsoft Excel

Power BI

Python

SQL

Job description

SOLV Energy is seeking a Project Cost Controls Analyst to deliver data-driven financial and strategic analysis across projects. The role is fully remote with periodic travel to field sites up to 25% of time, with location expectations discussed during interview.

The successful candidate will build cost forecasts, monitor cost drivers, develop analytics models, and present executive-ready insights to guide decision-making and improve project performance.