Job Description

Requisition ID # 169262

Job Category: Business Operations / Strategy

Job Level: Individual Contributor

Business Unit: Electric Engineering

Work Type: Hybrid

Job Location: Oakland

The Operations Data Analyst extracts operations data for analysis, leadership support and responses to ad hoc data requests. The incumbent maintains operations tools & databases ensuring that it is kept up-to-date using data from various PG&E systems. He/She develops, maintains and enhances operational metric database tools for the broader analytics team(s). The Analyst identifies and solves current gaps in data requirements and ease of access to ensure fast and consistent responses to leadership inquiries.

• PROJECT MANAGEMENT: Manages data management projects from initial request to presenting data results ensuring that the project is completed within budget and on-time.
• DATA PROCESSING: Creates automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
• DATA EXTRACTS AND FILE TRANSFERS: Manages extracting data and transferring the data from databases to various analysts to support operational analysis efforts.
• DATA ANALYSIS: Analyzes data using various statistical tools to develop ad hoc reports, statistics, trends and profiles.
• REPORTING: Develops and communicates clear, concise and actionable data analyses for clients.

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, 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.​

A reasonable salary range is:

• Minimum Base Salary (Bay Area) $122,000.00
• Mid Base Salary (Bay Area) $158,000.00
• Maximum Base Salary (Bay Area) $194,000.00

Responsibilities:

• Manages complex data analysis projects for KPIs with limited supervision on only the most complex
• Designs data analysis to achieve business objectives, process data, analyze data, write clear and concise data findings and tailor communications to specific audiences.
• Creates automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
• Manages very complex data extracts and list pulls ensuring data accuracy. Manages extracting data and transferring the data from databases to various analysts to support operational analysis efforts
• Analyzes data using various advanced statistical tools to develop complex ad hoc reports, statistics, trends and profiles.
• Demonstrates and utilizes broad expertise in data processing and data analysis and applies this knowledge to a number of different issues.
• Provides new and innovative solutions and recommendations to enhance database(s) with new data sources and improved data processes.
• Develops comprehensive reports and communicates clear, concise and actionable data analyses for clients.
• Acts as team lead and provides direction to less experienced employees.
• Works with Directors and Managers across functions to influence decisions.

Qualifications

Minimum:

• BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience
• 7 years of related work experience

Desired:

• Familiarity with utility operations.
• Advanced skill in Microsoft Excel/Access (complex formulas, graphing, VBA)
• Advanced skill in writing SQL queries using Oracle or Business Objects
• Strong knowledge of base-SAS and programming language such as Visual Basic, Perl, C
• Strong organizational, prioritization and multi-tasking skills.
• Strong problem solving skills.
• Influence skills.