Supervisor, Business Analysis

Position Summary

The Business Analysis leadership oversees analysts who research, gather, and maintain data, and analyze information to identify trends, measure performance, and provide insights used in business decision‑making or strategy formulation. In this role, the supervisor will oversee Schedulers and Clerical coworkers. The focus will be on resource planning and allocation of work to multiple electric distribution design centers. Specific types of analytics and reporting may include performance dashboards, business analytics, modeling, budgeting, and forecasting.

Incumbents may also be involved in business process improvement, quality control, and special projects.

This position is hybrid. You will work from your remote office and your assigned location based on business needs. The headquarters location can be in Oakland, Fresno, or West Sacramento.

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

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 job's locality. 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 that the successful candidate hired for 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 based on these factors. This job is also eligible to participate in PG&E's discretionary incentive compensation programs.

• Leads and coordinates day‑to‑day activities of a team performing some or all of the following:
  • Scheduling & Clerical coworkers:
    Leads a team of ESC represented Schedulers and IBEW represented Clerks.
  • Resource planning:
    Allocation of work to multiple design centers within electric distribution.
  • Data Analysis:
    Data gathering, compiling, and analyzing data. May develop and/or maintain data models for what‑if analysis and for other business purposes.
  • Metrics and Reporting, such as tracking business metrics, maintaining standards, and preparing custom ad‑hoc reports.
  • Budgeting & Forecasting
  • Benchmarking or Research
  • May perform quality assurance and business process improvement activities.
• Plans and delegates staff assignments. Ensures process efficiencies and consistency in reporting methods and output. Communicates analytics and reporting process and standards to staff.
• Works on analysis projects of moderate scope, impact, and/or complexity, primarily affecting one department or a small line of business. Direct internal clients typically report to the Manager or Sr. Director level. The focus is primarily on projects where data and variables are relatively straightforward, and processes are established.
• Directs team in completing reports and analysis. Reviews and considers implications of findings and presents to the Manager or other internal clients.
• Develops and presents process and/or reporting methodology improvements to the Manager.
• May partner with department peers to ensure necessary data or business intelligence reports are available for staff. Communicates user needs to data warehousing/ personnel regarding standard reports and data extracts/sources.
• May lead projects, determining scope, budget, time frames, forming teams, assigning tasks, managing resources, and addressing issues.

Minimum:

• Bachelor of Science in Business, Finance, Economics, Engineering, or related discipline, or equivalent work experience.
• 5 years total relevant experience

Desired:

• Financial and/or operational background
• Previous leadership experience.
• Knowledge of SAP applications or modules.
• Leadership skills.
• Understanding of utility/energy industry dynamics, trends, and issues, including rate and legislative/regulatory matters and business drivers.
• Business acumen and knowledge of business processes/operations.
• Influence skills.
• Analytical problem‑solving and decision‑making abilities.
• Knowledge of data analysis and modeling concepts, methods, techniques, and best practices to create complex data models.
• Solid communication, interpersonal, and collaboration skills to effectively develop relationships with staff, clients, and various levels of leadership.
• Proficiency in applicable data analysis tools.