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Renewable Power Financial Modeling Jobs (NOW HIRING)

US, UK, Canada, France, Portugal (remote) We are seeking a Financial Modeling AI Expert to join our ... Familiarity with business intelligence tools such as Power BI, Tableau, or similar platforms.

Experience with Power BI, Tableau, VBA, Python, SQL, or similar tools to build finance-led models and analytics The wage range for this role takes into account the wide range of factors that are ...

Financial Modeling Senior Consultant

Atlanta, GA · On-site

$112K/yr

Experience with Power BI, Tableau, VBA, Python, SQL, or similar tools to build finance-led models and analytics The wage range for this role takes into account the wide range of factors that are ...

Experience with Power BI, Tableau, VBA, Python, SQL, or similar tools to build finance-led models and analytics The wage range for this role takes into account the wide range of factors that are ...

Financial Modeling Senior Consultant

Houston, TX · On-site

$111K/yr

Experience with Power BI, Tableau, VBA, Python, SQL, or similar tools to build finance-led models and analytics The wage range for this role takes into account the wide range of factors that are ...

Financial Modeling Senior Consultant

Atlanta, GA · On-site

$112K/yr

Experience with Power BI, Tableau, VBA, Python, SQL, or similar tools to build finance-led models and analytics The wage range for this role takes into account the wide range of factors that are ...

Power Developer - ERCOT

Charleston, WV · Remote

$145K - $180K/yr

... renewable power generation. Intersect was acquired by Google in March 2026 and operates as an ... Own project financial models and economic analysis to guide key transactions and decisions

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Renewable Power Financial Modeling information

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$56.5K

$117.5K

How much do renewable power financial modeling jobs pay per year?

As of Jun 25, 2026, the average yearly pay for renewable power financial modeling in the United States is $113,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Renewable Power Financial Modeling, and why are they important?

To excel in Renewable Power Financial Modeling, you need strong quantitative analysis, financial modeling expertise, and knowledge of energy markets, typically supported by a degree in finance, economics, engineering, or a related field. Proficiency with Excel, financial modeling software (such as MATLAB or Python), and familiarity with project finance structures and renewable energy regulations is essential. Attention to detail, problem-solving abilities, and effective communication are standout soft skills for this role. These skills and qualities are crucial for accurately forecasting project returns, supporting investment decisions, and facilitating successful renewable energy projects.

What is renewable power financial modeling?

Renewable power financial modeling is the process of creating detailed financial models to evaluate the economic viability, risks, and returns of renewable energy projects such as solar, wind, and hydroelectric power. These models typically forecast cash flows, analyze project financing structures, calculate key metrics like IRR (Internal Rate of Return) and NPV (Net Present Value), and assess the impact of various technical and market assumptions. The goal is to help developers, investors, and lenders make informed decisions about funding and operating renewable energy projects.

What is the difference between Renewable Power Financial Modeling vs Renewable Power Analyst?

AspectRenewable Power Financial ModelingRenewable Power Analyst
Primary FocusBuilding financial models for renewable energy projectsAnalyzing project data and market trends
Skills RequiredFinancial analysis, Excel, valuation techniquesData analysis, industry knowledge, reporting
CertificationsFinancial modeling certifications, CFA (optional)Industry-specific certifications (e.g., renewable energy courses)
Work EnvironmentFinancial teams, project development firmsResearch firms, energy companies, consulting

Renewable Power Financial Modeling primarily involves creating detailed financial models to evaluate project viability and investment returns. In contrast, a Renewable Power Analyst focuses on analyzing data, market trends, and project performance to support decision-making. Both roles require strong analytical skills, but the modeling role emphasizes technical financial expertise, while the analyst role emphasizes industry knowledge and data interpretation.

How does a Renewable Power Financial Modeling professional typically collaborate with engineering and project development teams?

In this role, collaboration with engineering and project development teams is essential to accurately forecast costs, revenues, and risks for renewable energy projects. Financial modelers work closely with engineers to understand technical parameters that impact financial outcomes, such as energy yield estimates and construction timelines. They also partner with project developers to incorporate regulatory, permitting, and market factors into their models. This cross-functional teamwork ensures that financial models reflect realistic assumptions and support sound investment decisions.

$100 - $120/hr

Part-time

Posted 5 days ago


Job description

This role is for one of our clients
Compensation: $100-$120 per hour (20 hours per week commitment)
Job Type: Part-time / Contract
Location: US, UK, Canada, France, Portugal (remote)
We are seeking a Financial Modeling AI Expert to join our team and play a critical role in bridging advanced analytics with strategic financial decision-making. This role is ideal for professionals who combine strong financial modeling fundamentals with an understanding of AI-driven tools and data-led insights. You will work closely with finance leaders, strategy teams, and business stakeholders to build dynamic models that inform high-impact decisions.
Requirements
Key Responsibilities:
  • Develop, maintain, and enhance robust operating models that capture business drivers, revenue streams, cost structures, and capital allocation strategies.
  • Build detailed cash flow forecasts, including short-term liquidity planning and long-term financial projections, ensuring alignment with business goals.
  • Apply AI and data-driven techniques to automate, optimize, and improve the accuracy of financial models and forecasting processes.
  • Conduct sensitivity analysis and scenario planning, including downside and stress-case modeling, to evaluate financial resilience under varying market conditions.
  • Translate business and corporate strategy into clear financial implications, enabling leadership to assess profitability, risk exposure, and investment priorities.
  • Collaborate cross-functionally with product, operations, and leadership teams to gather inputs and validate model assumptions.
  • Create dashboards, reports, and visualizations that communicate complex financial insights in a clear and actionable manner.
  • Support strategic initiatives such as fundraising, M&A analysis, pricing strategies, and cost optimization efforts.

Required Skills & Qualifications:
  • Bachelor's or Master's degree in Finance, Economics, Accounting, Engineering, or a related field; CFA/CA/MBA is a plus.
  • 2-7 years of experience in financial modeling, corporate finance, investment banking, consulting, or related roles.
  • Advanced proficiency in Excel and financial modeling techniques, including three-statement models, DCF analysis, and scenario modeling.
  • Experience with AI/ML tools, Python, or financial analytics platforms to enhance modeling efficiency and insights.
  • Strong expertise in operating models and cash flow forecasting methodologies.
  • Proven ability to perform sensitivity analysis, build downside scenarios, and assess financial risk.
  • Demonstrated capability to translate strategic initiatives into measurable financial outcomes.
  • Strong analytical thinking, attention to detail, and problem-solving skills.
  • Excellent communication and stakeholder management abilities.

Preferred Qualifications:
  • Experience working with large datasets and integrating structured/unstructured data into financial models.
  • Familiarity with business intelligence tools such as Power BI, Tableau, or similar platforms.
  • Exposure to startup or high-growth environments is advantageous.

What You'll Gain:
  • Opportunity to work at the intersection of finance, strategy, and AI innovation.
  • High visibility with senior leadership and involvement in key strategic decisions.
  • A collaborative environment focused on learning, growth, and impact.