Sr Analyst, Data, AI & Analytics

AES US•Louisville, CO

About The Position

The AES Corporation is seeking a Senior Analyst, Data & AI Analytics to translate trusted data into actionable business insights. The role combines advanced analytics with 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. The position involves analyzing business and operational data, developing reporting and analytical solutions, supporting governance frameworks, improving data quality and metadata practices, and assessing data and AI use cases for readiness, value, and risk. The expected salary at commencement is $94,000–$112,625 per year. Base pay may vary based on market location and job-related knowledge, skills, and experience. Total compensation also includes an annual bonus. Benefits include medical, dental, and vision coverage, life insurance, 401(k) eligibility, and paid time off, including vacation, sick leave, and parental leave. The application deadline is 11/07/2026.

Requirements

Bachelor's degree in Data Science, Analytics, Computer Science, Information Systems, Data Management, Engineering, Business, or a related field.
At least 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 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, including 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.

Nice To Haves

Advanced degree preferred.

Responsibilities

Analyze complex business and operational data to identify trends, risks, opportunities, and actionable insights for strategic and operational decisions.
Develop and maintain dashboards, analytical models, metrics, and reporting solutions using governed data sources and consistent business definitions.
Support implementation and ongoing 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 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 applicable data governance, privacy, cybersecurity, and responsible AI policies and procedures to protect the confidentiality, integrity, and availability of data and analytical solutions.