Sr Analyst, Data, AI & Analytics

aes; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

The AES Corporation is actively shaping the future of energy through data-driven decisions and responsible AI governance. We seek a data analytics professional to build dashboards, enforce governance, and partner with stakeholders across a global organization.

Join a company recognized for ethical leadership and innovation. You will work with governed data sources, develop insights, and contribute to data catalogs, metadata, and data quality initiatives in a fast-paced environment.

Qualifications

• Bachelor's degree in data/analytics or related field; advanced degree preferred.
• 3+ years of experience in data analytics, BI, data management, or data governance.
• Experience building dashboards and reporting with Power BI or similar BI tools.
• Proficiency in SQL; experience with Python or R for analytics.
• Strong understanding of data governance concepts, including metadata, lineage, privacy, controls, and risk management.
• Familiarity with data privacy regulations and security governance for AI use cases.

Responsibilities

• Analyze complex business and operational data to identify trends, risks, opportunities, and actionable insights.
• Develop and maintain dashboards, analytical models, metrics, and reporting solutions using governed data sources.
• Support the implementation and continuous improvement of Data & AI Governance frameworks, policies, standards, procedures, and controls.
• Partner with data owners, stewards, stakeholders, and technical teams to define analytic requirements and improve data quality.
• Contribute to metadata repositories, data catalogs, glossaries, dictionaries, and lineage to improve transparency.
• Assess Data & AI use cases for data readiness, governance requirements, privacy, security, and responsible AI risks; document findings.
• Perform data profiling, validation, reconciliation, and quality monitoring; help define data quality rules and remediation actions.
• Communicate analytical findings, governance requirements, and risk clearly to technical and non-technical audiences.
• Follow all applicable data governance, privacy, cybersecurity, and responsible AI policies to protect data and analytics.

Skills

Power BI

SQL

Python

R

Data governance

Data privacy

Stakeholder management

Project management

Data quality

Education

Bachelor's degree in Data Science, Analytics, Computer Science, Information Systems, Data Management, Engineering, Business, or related field

Tools

Data catalogs

Metadata platforms

Data quality tools

Job description

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.

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 witho