Expert, Operations Data Analyst - Maintenance Asset Strategy (Flexible location)

Pacific Gas and Electric Company; Oakland (CA); Hybrid; USD 120,000 - 200,000; Full time

Job summary

Pacific Gas and Electric Company (PG&E) is seeking an Expert Operations Data Analyst to support EC Distribution maintenance strategy, data modeling, and executive reporting. This hybrid role emphasizes analytics, data engineering, and stakeholder collaboration across teams.

You will build tools, validate plans, extract data, and deliver insights to leadership with a focus on accuracy, regulatory alignment, and cross-functional influence.

Qualifications

• Bachelor's degree in business, data science, computer science, STEM, engineering, or related field; or equivalent experience.
• Six years of job-related experience.
• Master's degree or equivalent experience is preferred.
• Eight years of job-related experience is preferred.
• Background in asset management is desirable.
• Familiarity with Python, Palantir Foundry, SAP, Power BI, SQL, Microsoft Office, CoPilot is advantageous.
• Expertise with statistical methods and concepts.
• Familiarity with utility operations.
• Strong organizational, prioritization, and multitasking skills.
• Strong problem-solving skills.
• Advanced project management and cross-functional influence is valued.

Responsibilities

• Acts as a team lead and provides direction to less experienced employees.
• Analyzes data using advanced statistical tools to develop ad hoc reports, statistics, trends and profiles.
• Demonstrates and uses broad expertise in data processing and analysis across multiple issues.
• Designs data analyses to achieve business objectives; creates automated reporting routines and ensures data quality.
• Develops comprehensive reports and communicates actionable data analyses for clients.
• Manages complex data analysis projects from request to presentation, within time and budget.
• Performs data extracts and transfers from databases to analysts for operational analysis.
• Proposes new data sources and improved data processes for better analytics.
• Collaborates with Managers and Directors to support quantitative decision-making.

Skills

Data analysis

Statistical methods

Project management

Cross-functional collaboration

Problem-solving

Education

Bachelor's degree or equivalent

Master's degree or equivalent

Tools

Python

Palantir Foundry

SAP

Power BI

SQL

Microsoft Office

CoPilot

Job description

Position Summary

Welcome to Electric Asset Strategy (EAS). We are responsible for the Distribution electric system’s asset strategy, standards, procedures and end-to-end risk management for 2.3 million structures. We deliver a risk informed strategic plan, leveraging inspection insights and asset data to drive strategic maintenance and investment decisions.

Position Summary

The Expert Operations Data Analyst supports the development of strategies, work plans, and analysis for the Electric Corrective (EC) Distribution maintenance program. Key activities include the following:

• Developing and validating EC Distribution maintenance work plans
• Analyzing maintenance work plans for alignment with organizational goals and adherence to regulatory requirements
• Building tools for modeling scenarios and displaying data and outcomes
• Extracting data for analysis, leadership support and responses to data requests
• Monitoring and developing technological improvements to operations tools & databases
• Identifying and solving current gaps in data requirements and ease of access to ensure efficient and consistent responses to leadership inquiries.

The ideal candidate thrives in a challenging, fast-paced environment and collaborates well with internal stakeholders. This hybrid position requires working from both a remote office and an assigned work location, based on business needs.

PG&E is providing the salary 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 salary 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, collective bargaining agreements, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.

A reasonable salary range is:

Bay Area Minimum: $126,000

Bay Area Mid-Point: $163,000

Bay Area Maximum: $200,000

/OR

CA Minimum: $120,000

CA Mid-Point: $155,000

CA Maximum: $190,000

Job Responsibilities

• Acts as a team lead and provides direction to less experienced employees.
• Analyzes data using various advanced statistical tools to develop complex ad hoc reports, statistics, trends and profiles.
• Demonstrates and uses broad expertise in data processing and data analysis and applies this knowledge to a number of different issues.
• Designs data analyses to achieve business objectives; processes and analyzes data; writes clear, concise findings; and tailors communications to specific audiences. Creates automated routines and processes for reporting and data delivery, ensuring accurate data manipulation and cleansing.
• Develops comprehensive reports and communicates clear, concise and actionable data analyses for clients.
• Manages complex data analysis projects with limited supervision, from the initial request through presentation of results, ensuring each project is completed on time and within budget.
• Manages highly complex data extracts and list pulls, ensuring accuracy. Extracts and transfers data from databases to analysts in support of operational analysis.
• Provides new and innovative solutions and recommendations to enhance database(s) with new data sources and improved data processes
• Works with Managers and Directors across functions to aid in quantitative-based decision-making

Qualifications

Minimum

• Bachelor's degree in business, data science, computer science, a STEM field, engineering, or a job-related discipline, or equivalent experience
• Six years of job-related experience

Desired

• Master's degree or equivalent experience
• Eight years of job-related experience
• Background in asset management
• Familiarity with Python, Palantir Foundry, SAP, Power BI, SQL, Microsoft Office, CoPilot
• Expertise with statistical methods and concepts
• Familiarity with utility operations
• Strong organizational, prioritization, and multitasking skills
• Strong problem- solving skills
• Advanced project management skills and the ability to influence cross- functional teams.