Okay, I've searched for full-time Business Analyst positions in San Ramon, CA within the utility industry, requiring a Bachelor's degree and 2+ years of experience. I have found 47 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

This Business Analyst role at PG&E, supported by Insight Global via Lensa, centers on driving data-driven strategies to improve asset reliability and reduce wildfire risk—a critical and high-stakes challenge for a utility company. The core purpose is to transform complex historical failure and performance data into forward-looking, actionable insights that influence operational efficiency and safety. The role demands not just technical prowess in data analysis and visualization but also the ability to translate findings into strategic business recommendations, communicating clearly across diverse teams like compliance, operations, and wildfire risk. The emphasis on cross-functional collaboration and KPI development implies navigating complex stakeholder interests and systems, requiring strong interpersonal and problem-solving skills. Proficiency in Excel and familiarity with BI tools or scripting languages support the technical demands of rigorous data manipulation, reporting, and analytics innovation. Success in this role looks like enhancing the predictive capability of asset management to proactively mitigate wildfire risks while improving system reliability—a mission-critical balance requiring both precision and big-picture thinking. Initially, the candidate is expected to stabilize and elevate reporting accuracy, then progressively influence strategic initiatives, making this an impactful position blending technical detail with high-level organizational contribution.

Company Analysis:

Lensa, known for innovating in career matching through machine learning and personalized candidate assessment, operates within the tech-driven HR platform space with a strong data science foundation. Its partnership with Insight Global to recruit for PG&E projects highlights its role as a facilitator for tech-enabled talent acquisition in complex industries like utilities. Although Lensa is a career tech company, the role itself sits within PG&E's operational ecosystem—a large, legacy utility company undergoing digital transformation to address pressing societal challenges such as wildfire mitigation. This intersection of cutting-edge analytics with traditional infrastructure services creates a unique cultural dynamic; candidates must be comfortable working at the interface of innovation and regulation, balancing agility with the heavily risk-averse nature of utilities. The environment likely values accuracy, accountability, and inclusivity, reflecting the company’s stated commitment to diversity and authentic self-expression. The role likely reports as an individual contributor or team member collaborating across functions, with moderate visibility to leadership given the critical nature of wildfire risk management. Strategically, hiring for this role fits PG&E’s broader goal of leveraging analytics to scale preventative safety and reliability—making it a growth- and impact-focused position that contributes directly to corporate responsibility and operational excellence.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to analyze a large dataset to identify operational inefficiencies. How did you approach it and what was the outcome?
• Behavioral: Describe an experience where you collaborated with multiple departments to define key performance indicators. What challenges did you face and how did you resolve them?
• Behavioral: Can you share an instance where you presented complex data insights to non-technical stakeholders? How did you ensure your message was clear and actionable?
• Behavioral: Tell me about a time you encountered data quality issues. How did you detect and address them?
• Technical: How would you approach building a dashboard that tracks wildfire risk indicators using historical asset failure data?
• Technical: Walk me through your process for cleaning and transforming complex datasets for reporting purposes. What tools do you prefer and why?
• Technical: Can you explain how you might use SQL or Python to support your analysis in this role, even if you're not an expert in these languages?
• Technical: What key data visualization principles do you follow when developing reports to ensure they effectively drive decision-making?
• Situational: Imagine a cross-functional team disagrees on which KPIs best measure system reliability. How would you facilitate alignment and consensus?
• Situational: You uncover a significant trend in asset failures that suggests increasing wildfire risk, but stakeholders are hesitant to act. How would you present your findings and convince them?
• Situational: If you were given incomplete data with gaps impacting your analysis timeline, how would you proceed to provide useful insights?
• Company Fit: Why are you interested in working on wildfire risk reduction at PG&E through this role?
• Company Fit: How do you see your personal values aligning with a company that prioritizes diversity, inclusion, and authentic self-expression?
• Company Fit: Lensa uses advanced machine learning and data science in career matching. How do you think your analytical skills can contribute within this innovative, data-driven environment?
• Questions to Ask Interviewer: Can you describe how the Asset Failure Analysis team currently collaborates with other departments like compliance and operations?
• Questions to Ask Interviewer: What are the biggest challenges the team has faced in building predictive models related to wildfire risk, and how is the company addressing them?
• Questions to Ask Interviewer: How does PG&E support ongoing professional development for business analysts working with data tools and industry-specific analytics?