Data Visualization Engineer Intern
About The Position
The intern within Enterprise Risk Analytics team will develop and deliver technical work products that support risk-informed decision making at PG&E. This role supports broader risk analytics work to connect quantitative risk modeling to risk control measures designed to manage and mitigate risk, enabling clearer, more consistent risk‑informed decision‑making throughout the Enterprise. The successful candidate is analytical, organized, and curious, with a strong interest in data and decision support for risk management. They are comfortable working with structured datasets, applying existing analytical frameworks, and translating results into clear visualizations and documentation. The role requires attention to detail, a willingness to learn potentially complex subject matter, and the ability to collaborate across technical and non‑technical stakeholders. The intern will collaborate closely with data product owners, analysts, and risk professionals across the organization, contributing to analytical outputs while building foundational experience in applied risk analytics applied to critical infrastructure systems.
Requirements
- Qualified candidates are pursuing a Bachelor’s degree in Engineering, Data Visualization, Data Science or Analytics, Computer Science, or similar field
- Students must be continuing their education towards their degree during and/or after the internship
Nice To Haves
- Strong analytical skills; proficiency with Python, Power BI, Excel
- Technical communication skills, both verbal and written
- Experience in process documentation
- Quality management skills
- Interest in risk, risk analysis, utility operations, analytics in an operational context
Responsibilities
- Establish a database which assembles realized risk event data from across the enterprise
- Compute realized events consequences across various risk dimensions (e.g., safety, reliability, financial) by applying an existing risk valuation framework to the data.
- Visualize analytical risk data to help decision-makers understand and interpret risk results (e.g., effectiveness and coverage of current risk control programs, relationship between risk driver likelihood and consequences)
- Demonstrate a continuous improvement mindset by identifying opportunities to simplify, standardize, and clarify existing analytical processes
- Collaborate with data product owners with professionalism, curiosity, and a willingness to learn
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What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
