Operations Data Analyst, Expert

Pacific Gas and Electric Company; Oakland (CA); Hybrid; USD 126,000 - 200,000; Full time

Job summary

Pacific Gas and Electric Company is seeking an Operations Data Analyst in Oakland to extract and analyze operations data, maintain data tools, and support leadership with ad hoc requests. Hybrid work awaits, with emphasis on delivering automated data routines and trusted insights.

The role requires strong skills in Power BI, Palantir Foundry, Python, SQL, and Excel, plus experience in cross-functional project leadership and data governance.

Qualifications

• BA/BS degree required or equivalent work experience; six years of related experience preferred.
• Master’s degree is desired.

Responsibilities

• Manages data analysis projects from requests to results presentations, on-time and within budget.
• Designs analyses to achieve business objectives and communicates findings clearly to audiences.
• Creates automated data routines and ensures accurate data manipulation and cleansing.
• Manages complex data extracts and transfers from databases to analysts to support operational analysis.
• Develops comprehensive reports and presentations with analytics results and recommendations.

Skills

Power BI

Palantir Foundry

Python

Excel

SQL

Data analysis

Leadership

Project management

Cross-functional teamwork

Education

BA/BS in Marketing, Business, CS, Engineering or related field

Master’s degree

Tools

Oracle

Business Objects

Job description

Requisition ID# 175204

Job Category: Business Operations / Strategy

Job Level: Individual Contributor

Business Unit: Energy Delivery

Work Type: Hybrid

Job Location: Oakland

Position Summary

The Operations Data Analyst extracts operations data for analysis, leadership support, and responses to ad hoc data requests. The incumbent maintains operations tools and databases, ensuring that they are 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 presentation of data results, ensuring that the project is completed within budget and on time.
• DATA PROCESSING: Creates automated data routines and processes for reporting and delivery, ensuring accurate data manipulation and cleansing.
• DATA EXTRACTS AND FILE TRANSFERS: Manages extracting data and transferring 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 analysis 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, particular 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 ($120,000 - $160,000), the decision will be made on a case-by-case basis related to these factors. This job can also include participation 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

• California Minimum: $120,000
• California Mid-Point: $155,000
• California Maximum: $190,000

Responsibilities:

• Manages complex data analysis projects with limited supervision on only the most complicated projects, from initial requests to presenting data results, ensuring the project is completed within budget and on time.
• Designs data analysis to achieve business objectives, processes data, analyzes data, writes clear and concise data findings, and tailors communications to specific audiences. Creates automated data routines and processes for reporting and data delivery, ensuring accurate data manipulation and cleansing.
• Manages very complex data extracts and list pulls, ensuring data accuracy. Manages data extraction and transfers the data from databases to various analysts to support operational analysis efforts.
• Analyzes data using advanced statistical tools to develop complex ad hoc reports, statistics, trends, and profiles.
• Demonstrates and utilizes broad expertise in data processing and analysis and applies this knowledge to several 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.
• Prepares and develop presentation materials including data analytics results, visualization and recommendations.
• Acts as team lead and provides directions 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
• Six years of related work experience

Desired:

• Master’s degree

• Advanced project management skills to lead cross-functional teams.
• Advanced skill in Microsoft Power BI (report, visuals, dashboard).
• Strong knowledge of Palantir Foundry tools and data architecture.
• Strong organizational, prioritization, and multi-tasking skills.
• Influence skills.
• Strong problem-solving skills.
• Strong knowledge of Python (numpy, matplotlib, pandas, geopandas, pyspark).
• Advanced skill in Microsoft Excel (complex formulas, graphing, VBA).
• Advanced skill in writing SQL queries using Oracle or Business Objects.
• Familiarity with utility operations.