Data Visualization Engineer Intern Job at Pacific Gas And Electric Company, Oakland, CA

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  • Pacific Gas And Electric Company
  • Oakland, CA

Job Description

Requisition ID # 171824 

Job Category: Administrative / Clerical 

Job Level: Individual Contributor

Business Unit: Gen Counsel, Ethics, Risk & Compliance

Work Type: Hybrid

Job Location: Oakland

 

 

Department Overview

The Enterprise Risk Analytics (ERA) team develops and applies quantitative methodologies and analytical tools to measure, compare, and communicate operational risks across the PG&E enterprise. The team’s mission is to support quality decision‑making by providing consistent, data‑driven views of risk and risk reduction benefits across major risk areas, including wildfires, electric and gas systems, nuclear operations, dams, cybersecurity, coworker safety and other public‑safety‑related risks.

 

Position Summary

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.

 

 

PG&E is providing the hourly rate range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job.  The actual hourly rate paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. 

 

The hourly rate for this position ranges from $24.52 to $35.37  

 

Job 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

 

 

Qualificati ons

 

Minimum Qualifications:

  • 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

 

Desired:

 

 

  • 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

 

PG&E is unable to provide VISA sponsorship to students on an F-1, J-1 or other student visa for this position.

Job Tags

Hourly pay

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