As a Data Analyst at PG&E (Pacific Gas and Electric Company), you play a vital role in powering California’s energy infrastructure. Operating one of the largest combined natural gas and electric utilities in the United States, PG&E relies heavily on data to make critical decisions regarding grid reliability, wildfire mitigation, asset management, and clean energy integration. In this role, you are not just analyzing numbers; you are translating complex data sets into actionable strategies that directly impact public safety and environmental sustainability.

The work of a Data Analyst at PG&E spans across various operational teams, including electric operations, gas transmission, customer care, and risk management. You will work with massive, diverse datasets—ranging from real-time smart meter readings and geographic information systems (GIS) data to asset health records and safety metrics. Your insights will help the company optimize asset maintenance schedules, predict potential equipment failures, and streamline emergency response efforts.

What makes this position highly compelling is the tangible, real-world impact of your work. A well-constructed predictive model or a highly accurate dashboard can prevent service outages, protect local communities, and support California's transition to a carbon-neutral grid. Candidates stepping into this role must balance technical rigors with a deep commitment to operational safety, compliance, and collaborative problem-solving.

To succeed in the PG&E interview process, you must prepare for a blend of behavioral, scenario-based technical, and company-specific questions. The questions below are representative of what candidates face, compiled from real reported interview experiences. They are structured to show you the key patterns and themes that the hiring team prioritizes.

Safety & Behavioral Alignment

Because PG&E operates critical public infrastructure, safety is the company's absolute top priority. You must be ready to demonstrate how you integrate safety and risk mitigation into your daily work.

• Tell me about a time when you noticed a safety risk or an operational hazard. What actions did you take to resolve it?
• Describe a situation where you had to balance a tight deadline with ensuring the absolute accuracy and safety of your deliverables.

Preparing for an interview at PG&E requires a balanced approach. You need to demonstrate sharp technical capabilities while showing a deep alignment with the company's core values, particularly safety and community stewardship.

Safety-First Mindset – At PG&E, safety is not just a buzzword; it is a core operational value. Interviewers will actively evaluate how you assess risk, escalate concerns, and prioritize safety in both digital and physical environments. You can demonstrate this by weaving risk assessment and quality control into all your behavioral and technical answers.

Scenario-Based Problem Solving – You will be asked to propose data strategies for complex, ambiguous situations. Interviewers want to see how you break down a large operational problem, identify key data requirements, design a structured analysis plan, and translate technical findings into clear business recommendations.

Technical Competency & Code Literacy – You must be comfortable discussing your technical toolkit, which typically includes SQL, Python, R, or Tableau. Be prepared to explain the "why" behind your technical choices—such as why you chose a specific database structure, how you optimized a query, or how you ensured your code was reusable and well-documented.

Collaborative Communication – PG&E fosters an egoless, team-oriented culture. You will work closely with field engineers, project managers, and executive stakeholders who may not have a technical background. Your ability to explain complex data concepts simply and collaborate respectfully across departments is highly valued.

The interview process for a Data Analyst at PG&E is structured, straightforward, and highly focused on practical application. While the exact timeline can vary depending on the specific department and location, most candidates experience a swift and transparent progression. The process is designed to evaluate your technical competency, scenario-based problem-solving, and alignment with PG&E's safety culture.

The journey typically begins with a standard recruiter phone screen to review your background, interest in the utility sector, and salary expectations. From there, the process moves into virtual or in-person panel interviews. Unlike software companies that rely heavily on abstract algorithmic coding tests, PG&E focuses on how you apply data analytics to solve real-world operational challenges. You may be asked to bring a sample of your own code to walk through with the team, or you may face back-to-back behavioral and technical scenario interviews.

This visual timeline illustrates the typical progression from your initial application to the final offer stage. Most candidates complete the active interviewing rounds within a few weeks, though the administrative steps—such as background checks, reference collections, and formal offer approvals—can sometimes take up to a month. Use this timeline to pace your preparation, ensuring you have your code samples and safety-focused behavioral stories fully prepared before the technical and panel rounds.

To excel in the PG&E Data Analyst interview, you must understand the specific competencies the hiring panel will evaluate. The process focuses on three main pillars: scenario-based data strategy, technical code reviews, and safety-focused behavioral alignment.

Scenario-Based Data Strategy

This evaluation area tests your ability to act as a strategic consultant. You will be presented with ambiguous utility challenges and asked to outline a comprehensive data solution. The panel wants to see how you think from end to end—from data ingestion to stakeholder visualization.

Be ready to go over:

• Data Sourcing and Integration – How to identify and combine disparate datasets, such as weather patterns, asset age, and maintenance logs.
• Data Quality and Validation – Strategies for identifying anomalies, handling missing values, and ensuring your data is clean enough for critical safety decisions.
• Actionable Metrics – Designing key performance indicators (KPIs) that help operational teams make quick, informed choices in the field.
• Advanced concepts (less common) – Integrating real-time IoT sensor streams, managing geospatial (GIS) data layers, and setting up automated data validation pipelines.

Example questions or scenarios:

• "Propose a data strategy to help our gas operations team prioritize pipeline inspections across Northern California."
• "We want to analyze the impact of extreme heatwaves on grid transformers. What data would you collect, and how would you structure your analysis?"

Code Walkthrough and Review

Instead of standard whiteboarding, PG&E often asks candidates to bring in a script or project they have previously written. This round evaluates your practical coding habits, attention to detail, and your ability to explain technical work to a peer group.

Be ready to go over:

• Code Structure and Readability – Writing clean, well-commented, and modular code (typically in Python, R, or SQL).
• Optimization and Efficiency – How you identify bottlenecks in your queries or scripts and improve processing speed.
• Error Handling – How your code handles unexpected inputs or API failures without crashing.

Example questions or scenarios:

• "Walk us through this section of your code. Why did you choose this specific library or data structure?"
• "If this dataset scaled by a factor of one hundred, how would you modify your SQL query or Python script to ensure it still runs efficiently?"

Safety and Behavioral Alignment

This area evaluates your fit within PG&E's highly collaborative, safety-first culture. The panel will look for candidates who display high emotional intelligence, accountability, and a genuine commitment to public service.

Be ready to go over:

• The STAR Method – Structuring your answers clearly by describing the Situation, Task, Action, and Result.
• Risk Mitigation – Demonstrating a proactive approach to identifying and addressing risks in your daily work environment.
• Stakeholder Management – How you build trust and communicate data insights to non-technical partners, such as field crews or regulatory compliance officers.

Example questions or scenarios:

• "Tell me about a time you discovered an error in a report that had already been sent to leadership. What did you do?"
• "Describe a situation where you had to influence a team decision using data, despite initial resistance from stakeholders."

As a Data Analyst at PG&E, your daily work directly supports the safe and reliable delivery of energy. You will operate at the intersection of technology and physical operations, translating raw data into strategic decisions.

• Developing and Maintaining Dashboards: You will design, build, and maintain intuitive BI dashboards (using Tableau or Power BI) that allow operational leaders and field managers to monitor safety metrics, asset health, and project timelines in real-time.
• Conducting Ad-Hoc Operational Analysis: When unexpected events occur—such as extreme weather or equipment failures—you will perform rapid, ad-hoc analyses to help leadership understand the root causes and mitigate future risks.
• Ensuring Data Quality and Governance: You will partner with IT and data engineering teams to clean historical data, establish data governance standards, and build robust pipelines that ensure reporting accuracy for regulatory compliance.
• Collaborating Across Business Units: You will work closely with asset managers, field engineers, and financial analysts to understand their business needs, translate those needs into technical requirements, and deliver data-driven solutions.