Electric Asset Management Intern
About The Position
Welcome to Electric Asset Management (EAM). We are responsible for electric system engineering and planning, asset strategy, and risk management across Transmission, Distribution, and Substation asset families. Within our Asset Management organization, our Distribution group focuses on risk-informed strategic planning, while leveraging lessons learned from inspections and asset data to inform asset management and maintenance decisions. The Asset Risk Management (ARM) team sits within Distribution Asset Strategy, and encompasses Asset Failure Analysis (AFA), Asset Insights, and Inspections & Maintenance Strategy (I&M). ARM is tasked with the development and continuous improvement of how we monitor and maintain our assets, ensuring we support a resilient and reliable grid, and we keep our communities safe. Position Summary The Data Analyst / Data Engineer Intern supports the development of strategies, work plans, and analytics for distribution inspection programs, including aerial, ground, and infrared inspections. This role involves building data solutions, performing analyses, and supporting decision‑making across the organization. This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory.
Requirements
- Currently pursuing a Bachelor’s or Master’s degree in Data Science, Information Technology/Systems, Engineering, Business/Economics, Computer Science, or a related field.
- Students must be continuing their education toward a degree during and/or after the internship.
Nice To Haves
- 3.0 GPA or greater in both cumulative GPA and major GPA.
- Experience with Python required; familiarity with PySpark, SQL, Palantir Foundry, BI Tools (Power BI, Tableau) and coursework or exposure to data engineering, statistics, or cloud tools is a plus.
- Basic investigative, assessment and evaluation skills.
- Experience working on computer systems, architectures, networks and data.
- Communication and interpersonal skills.
- Good organizational and analytical problem-solving skills.
- Collaboration and teamwork.
- Comfortable with MS Outlook, Word, Excel and PowerPoint.
Responsibilities
- Build and maintain data pipelines using Python/ PySpark to support inspection and asset management programs.
- Develop and maintain analytical dashboards and visualizations to communicate insights to technical and non ‑ technical stakeholders.
- Extract, clean, and prepare data for analysis, leadership reporting, and ad hoc data requests.
- Analyze datasets using statistical and analytical methods to identify trends, patterns, and operational insights.
- Support development of long ‑ term, data ‑ driven inspection and maintenance strategies for distribution assets.
- Apply and develop skills in data processing, analytics, and data engineering to contribute to a wide range of business questions.
- Communicate findings clearly and concisely, tailoring messages to technical, leadership, or field audiences.
- Collaborate with engineering, data, and field operations teams to identify new data sources, enhance existing datasets, and recommend process improvements.
- Contribute to comprehensive reports and presentations with actionable insights for internal clients.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
