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Energy Financial Modelling & Power Analytics Analyst

HexacorpDallas, TX🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationDallas, TX, United States
Microsoft ExcelFinancial AnalysisFinancial Modeling

Job description

Job Title: Energy Financial Modelling & Power Analytics Analyst

Experience: 4–6 years

Preferred Locations: Dallas, TX | Houston, TX

Contract

Duration: 6 Months with possible extension.

Role Summary

We are seeking an experienced Energy Financial Modelling & Power Analytics professional to support power and energy analysis across a large portfolio of approximately 1,600 warehouse/industrial properties.

The ideal candidate will combine strong energy-sector knowledge, financial modelling, power-market analysis, and investment evaluation skills. A key requirement is the ability to develop financial and pro forma models from scratch, analyze power availability and infrastructure economics, and evaluate the ROI of energy-related opportunities.

Key Responsibilities

Power & Energy Analysis

•                    Conduct power availability and energy studies for a large portfolio of warehouse/industrial properties.

•                    Analyze existing and potential power capacity, demand, availability, constraints, and energy requirements.

•                    Evaluate power requirements associated with warehouse and industrial operations.

•                    Consolidate and analyze power-related information across approximately 1,600 properties.

•                    Identify locations where power availability or infrastructure may present opportunities or constraints.

Financial Modeling

•                    Build detailed financial models from scratch specifically for energy and power-related projects.

•                    Develop pro forma financial models to evaluate energy investments and infrastructure opportunities.

•                    Perform scenario and sensitivity analyses using variables such as investment cost, energy costs, capacity assumptions and operating economics.

•                    Develop cash-flow projections and investment cases.

ROI & Investment Analysis

•                    Perform ROI analysis for proposed power and energy initiatives.

•                    Evaluate project economics using relevant measures such as ROI, NPV, IRR, payback period and cash-flow analysis.

•                    Compare alternative investment scenarios and provide financially supported recommendations.

•                    Translate technical power/energy information into financial implications that can support business and investment decisions.

Required Qualifications

•                    4–6 years of relevant professional experience, preferably within the power, energy, utilities, renewable energy, energy infrastructure, or related sectors.

•                    Demonstrated experience building sophisticated financial models from scratch, rather than only maintaining existing models.

•                    Strong understanding of energy economics and power-related investment analysis.

•                    Experience developing pro forma models and ROI/investment analyses.

•                    Advanced Microsoft Excel and financial-modelling skills.

•                    Strong quantitative, analytical and problem-solving capabilities.

•                    Ability to work with large datasets covering multiple assets/locations.

•                    Ability to present complex energy and financial analysis clearly to business and investment stakeholders.

Preferred Qualifications

•                    Master’s degree in Energy/Energy Management, Energy Economics, Finance, Engineering or a related discipline.

•                    Experience working with utilities, power markets, energy infrastructure, industrial facilities or large commercial property portfolios.

•                    Experience analyzing large multi-site portfolios is strongly preferred.

•                    Familiarity with energy-market data and power availability/capacity analysis.

•                    Exposure to Power BI, Python, SQL or similar analytical tools would be advantageous, (But I would keep these as preferred rather than mandatory unless Magesh specifically confirms the technology requirement).

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