Remote Project Cost Controls Analyst – Forecasting & Insights

SOLV Energy; California (MO); On-site; USD 77,866 - 97,333; Full time

Job summary

SOLV Energy is hiring a Project Cost Controls Analyst for a fully remote role with periodic site travel up to 25%. You will build and maintain cost forecasts, implement analytics models, and support SOX controls across projects.

Ideal candidates have 1–3 years in project controls or FP&A, strong Excel and SQL/Python skills, and the ability to present insights to senior leadership. Travel to site may be required occasionally.

Qualifications

• Bachelor’s degree in Engineering, Finance, Economics, Data Science, or 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/or 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.
• Highly effective communicator capable of translating complex technical data into business terms for senior leadership.
• Strong data management skills and creativity in business problem solving.
• Proven ability to build clean, professional presentation decks that influence decision-making.
• Detail-oriented, self-starter driven.
• Ability to travel as needed to fulfill responsibilities and duties.

Responsibilities

• Build and maintain project-level cost forecasts by working cross-functionally with project managers and field operations.
• 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

Excel

Power BI

Python

SQL

Analytical thinking

Communication

Data management

Presentations

Education

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

Tools

Power BI

Python

SQL

Excel

Job description

SOLV Energy is hiring a Project Cost Controls Analyst for a fully remote role with periodic site travel up to 25%. You will build and maintain cost forecasts, implement analytics models, and support SOX controls across projects.

Ideal candidates have 1–3 years in project controls or FP&A, strong Excel and SQL/Python skills, and the ability to present insights to senior leadership. Travel to site may be required occasionally.