Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation, the largest US-based global power company with a team of 8,300 employees across 12 countries.
AES has been
ranked #1 by BloombergNEF in renewable energy sales to corporations in the US and Americas for five consecutive years, providing electricity for
millions of people worldwide. We are proud to foster a strong workplace culture, earning prominent positions in Great Place to Work rankings across the markets where we operate. AES was also named one of the World's 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 Institute's Edison Awards in the twenty-first century, a distinction honoring global leadership in advancing the electric power industry.
If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a more sustainable future, we're powering it. Apply now and energize your career with a true leader in global energy.
AES is at the forefront of accelerating the future of energy, and we're seeking a Senior Analyst, Data & AI Analytics to help translate trusted data into actionable business insights. In this role, you'll combine advanced analytics with strong Data & AI Governance practices to improve data quality, support responsible AI adoption, strengthen transparency and controls, and enable reliable data-driven decision-making across AES.
Main Responsibilities: - Analyze complex business and operational data to identify trends, risks, opportunities, and actionable insights that support strategic and operational decision-making.
- Develop and maintain dashboards, analytical models, metrics, and reporting solutions using governed data sources and consistent business definitions.
- Support the implementation and continuous improvement of Data & AI Governance frameworks, policies, standards, procedures, and controls.
- Partner with data owners, stewards, business stakeholders, and technical teams to define analytical requirements, investigate data issues, and improve data quality, reliability, and usability.
- Contribute to the development and maintenance of metadata repositories, data catalogs, business glossaries, data dictionaries, and lineage to improve transparency and traceability.
- Assess Data & AI use cases for data readiness, business value, governance requirements, privacy, security, and responsible AI risks; document findings and support mitigation plans.
- Perform data profiling, validation, reconciliation, and quality monitoring; help define data quality rules, controls, and remediation actions.
- Communicate analytical findings, governance requirements, and risk considerations clearly to technical and non-technical audiences.
- Follow all applicable data governance, privacy, cybersecurity, and responsible AI policies and procedures to protect the confidentiality, integrity, and availability of data and analytical solutions.
Qualifications: - Bachelor's degree in Data Science, Analytics, Computer Science, Information Systems, Data Management, Engineering, Business, or a related field; advanced degree preferred.
- 3+ years of experience in data analytics, business intelligence, data management, Data Governance, or a related field.
- Experience developing dashboards, analytical models, metrics, and reporting solutions using tools such as Power BI or equivalent business intelligence platforms.
- Working knowledge of SQL and experience with analytical or programming tools such as Python or R.
- Strong understanding of Data Governance concepts, including data ownership and stewardship, metadata management, lineage, data quality, privacy, controls, and risk management.
- Familiarity with data privacy regulations and recognized security or risk frameworks, as well as responsible AI principles and governance requirements for AI use cases.
- Experience with data catalogs, metadata platforms, data quality tools, or related data management technologies.
- Excellent analytical, communication, and stakeholder-management skills, with the ability to translate complex data and governance topics into clear business insights and actions.
- Strong problem-solving and project management skills, with the ability to manage multiple priorities and deliver high-quality work in a fast-paced, global environment.
AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
The expected salary for this position, at commencement of employment, is between $94,000 and $112,625/year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position also includes annual bonus. The benefits offered for this position are: medical, dental, and vision coverage, life insurance, 401(k) eligibility, and paid time off (including vacation, sick leave time, and parental leave). Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Apply by clicking the application link below and submitting your information. The deadline to apply for this role is 11/07/2026
