Senior FP&A Analyst - US Utilities & Strategy

AES Indiana; Indianapolis (IN); Vor Ort; USD 70.000 - 100.000; Vollzeit

Zusammenfassung

The AES Corporation in the United States seeks a Financial Analyst to consolidate financial information for AES's US Utilities and provide insights for strategic decisions. The role also supports forecasting for regulatory filings.

Strong analytical skills, financial concept fluency, and ability to collaborate across countries are essential. Responsibilities include budgeting, forecasting, variance analysis, and building financial models with cross-functional teams.

Qualifikationen

• Bachelor's degree in finance, accounting, economics, or related field.
• Master's degree is preferred.

Aufgaben

• Communicate financial information to key stakeholders clearly.
• Lead consolidation of financial data processes with accuracy.
• Collaborate with department heads to develop and monitor budgets and forecasts.
• Develop and maintain financial models, forecasts, and budgets; perform variance and scenario analysis.
• Prepare and analyze financial performance; identify trends and provide insights to senior management.
• Participate in cross-functional teams to drive financial efficiency and effectiveness.
• Define, implement and improve processes to digitize and automate financial reporting using Power BI, Excel, and AI.
• Support ad-hoc financial projects as required.

Kenntnisse

Analytical skills

Cross-functional collaboration

Advanced English

Ausbildung

Bachelor's degree in finance, accounting, economics, or related field

Master's degree preferred

Tools

Power BI

Excel

SAP

Jobbeschreibung

The AES Corporation in the United States seeks a Financial Analyst to consolidate financial information for AES's US Utilities and provide insights for strategic decisions. The role also supports forecasting for regulatory filings.

Strong analytical skills, financial concept fluency, and ability to collaborate across countries are essential. Responsibilities include budgeting, forecasting, variance analysis, and building financial models with cross-functional teams.