Senior Analyst, Data, AI & Analytics
Public global power company that owns and operates electricity generation, regulated utilities, LNG infrastructure, renewable energy, and battery-storage assets.
About The AES Corporation
AES develops, constructs, and operates power-generation and distribution businesses, supplying affordable and sustainable power. Its portfolio includes solar, hydro, wind, natural gas, coal, battery storage, utilities, and LNG infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will analyze complex business and operational data to identify actionable insights for strategic and operational decisions. You will build dashboards, analytical models, metrics, and reporting solutions using governed data. You will help implement Data and AI Governance practices, improve data quality and transparency, assess AI use cases and risks, and communicate findings to technical and non-technical stakeholders.
Requirements
- 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 with Power BI or equivalent business intelligence platforms.
- Working knowledge of SQL and experience with Python or R.
- Understanding of Data Governance, including ownership, stewardship, metadata management, lineage, data quality, privacy, controls, and risk management.
- Familiarity with data privacy regulations, security or risk frameworks, and responsible AI principles.
- Experience with data catalogs, metadata platforms, data quality tools, or related data management technologies.
- Analytical, communication, stakeholder-management, problem-solving, and project-management skills.
Responsibilities
- Analyze business and operational data to identify trends, risks, opportunities, and actionable insights.
- Develop and maintain dashboards, analytical models, metrics, and reporting solutions.
- Support Data and AI Governance frameworks, policies, standards, procedures, and controls.
- Partner with data owners, stewards, stakeholders, and technical teams to define requirements and resolve data issues.
- Maintain metadata repositories, data catalogs, business glossaries, data dictionaries, and lineage.
- Assess Data and AI use cases for readiness, value, governance, privacy, security, and responsible AI risks.
- Perform data profiling, validation, reconciliation, and quality monitoring.
- Communicate analytical findings, governance requirements, and risk considerations to stakeholders.
- Follow data governance, privacy, cybersecurity, and responsible AI policies and procedures.
Benefits
- Annual bonus
- Medical coverage
- Dental coverage
- Vision coverage
- Life insurance
- 401(k) eligibility
- Paid time off
- Vacation
- Sick leave
- Parental leave