Senior FP&A Data Analyst
$105k - $131.33kAES US
Are you ready to be part of a companythatsnot just talking about the future but actively shaping it Join The AES Corporation the largest US-based global power company witha teamof 8300employees across 12 countries.
AES has been ranked #1 byBloombergNEF in renewable energy sales to corporations in the US and Americas for five consecutive years providing electricityfor millions of peopleworldwide. We are proud to foster a strong workplace culture earning prominent positions in Great Place to Work rankings across the markets where weoperate. AES was also named one of the Worlds Most Ethical Companies for the 13th consecutive year in 2026 highlighting our dedication to integrity transparency and responsible business practices.Our spirit of innovation continues to earn industry recognition. AES is the only seven-time winner of the Edison Electric Institutes Edison Awards in the twenty-first century a distinction honoringglobal leadership in advancing the electric power industry.
Ifyoureready to be part of a companythatsnot just adapting to change but driving it AES is the place for just building a more sustainable future werepowering it. Apply now and energize your career with a true leader inglobalenergy.As a Senior FP&A Data Analyst you will play a key role in helping our Corporate FP&A team transform complex financial and operational data into actionable business insights. Working at the intersection of finance data analytics and business strategy you will help identify the key drivers behind financial performance and forecasts across a global energy business.
This is an exciting opportunity to work with large datasets advanced analytics AI-enabled tools and Power BI solutions to support strategic decision-making. You will collaborate with colleagues across finance operations commercial teams and senior leadership while contributing to the growth and transformation of a dynamic organization in the global power sector.
Core Competencies
Ability to collaborate effectively across functions teams and geographic regions.
Strong analytical thinking and problem-solving capabilities.
Curiosity and a continuous improvement mindset.
Excellent organizational and time management skills.
Attention to detail while maintaining focus on broader business objectives.
Ability to prioritize and adapt in a dynamic fast-paced environment.
Strong interpersonal skills with the ability to influence and build relationships across teams.
Ability to work independently while knowing when to seek guidance or collaborate with others.
Key Responsibilities
Maintain and enhance Power BI models dashboards and reporting solutions used to analyze business performance and explain financial variances.
Design and develop new Power BI reporting solutions for a variety of stakeholders including finance operations commercial teams and executive leadership.
Become a subject matter expert in budgeting and forecasting systems supporting data integrity and processes that enable accurate financial planning across a growing multi-billion-dollar business.
Partner with FP&A colleagues to identify process improvement opportunities and implement data-driven solutions that increase efficiency and insight generation.
Collaborate with internal stakeholders to strengthen data quality governance and stewardship practices.
Support recurring and ad hoc analysis reporting requests and business performance reviews.
Leverage analytics automation and emerging technologies to improve financial reporting and decision-making processes.
Preferred Qualifications
Experience developing and maintaining Power BI data models dashboards and reporting solutions.
Experience working with planning and forecasting platforms such as BPC Anaplan Oracle SAP or similar tools.
Understanding of Generally Accepted Accounting Principles (GAAP) and financial statement analysis including forecasting and performance analysis.
Advanced Excel modeling and analytical capabilities.
Strong verbal and written communication skills with the ability to present insights to both technical and non-technical audiences.
Proficiency in English.
Experience working with large datasets business intelligence tools AI-enabled analytics or data automation solutions is a plus.
Education
Bachelors degree in Finance Accounting Management Information Systems Data Analytics Business Economics or a related field.
Required Experience:
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