Financial Modeling Analyst
ENFRA
Financial Modeling Analyst
ENFRA
Analytics platform for building energy efficiency
The Financial Modeling Analyst joins the Financial Analytics & Modeling team and contributes to a broad range of financial analysis and modeling activities supporting a fast-growing energy services company. This role offers hands-on experience across project finance, financial modeling, investment analysis, and strategic decision-making while working closely with senior analysts and business leaders. The analyst assists in the development and maintenance of financial models, evaluates project opportunities, supports financing and commercial activities, and provides analytical insights that help drive informed business decisions.
Required Qualifications:
Preferred Qualifications:
Travel Requirements:
Physical Requirements & Work Environment:
The following physical requirements and work environment characteristics are representative of those required to successfully perform the essential functions of this position. In accordance with applicable laws, reasonable accommodations may be made to enable qualified individuals with disabilities to perform these essential functions.
Environmental Conditions:
Physical Demands:
Compensation: 66760 to 89185 (USD)
BuildingFit is a fault detection and diagnostics, analytics, and visualization platform for building operations. It ingests large amounts of data from diverse sources such as building automation systems and IoT devices, runs analytics to identify faults and optimization opportunities, and delivers insights through KPIs, automated reports, and interactive dashboards. This helps facility teams prioritize daily operations, reduce energy waste, and lower costs while improving comfort, reliability, and safety. Unlike systems that rely on limited data feeds, BuildingFit emphasizes scalable data integration from many sources and role-based dashboards to translate complex data into actionable steps. The company’s goal is to enable building operators to run more energy-efficient, reliable, and safer buildings through data-driven decision making.
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