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 in Oakland seeks an Operations Data Analyst to extract, prepare, and analyze operations data, support leadership with ad hoc requests, and maintain operational metric databases across PG&E systems in a hybrid work setting.

The role emphasizes project management, automated data routines, data extracts, and advanced analytics using statistical tools; requires BA/BS and 6 years of experience, with preferred master's and strong GIS, SQL, Power BI, Python, and Excel

Qualifications

• BA/BS in related field or equivalent experience.
• At least 6 years of data analytics experience.
• Master's degree preferred.

Responsibilities

• Manages data analysis projects from request to presenting results within budget and on-time.
• Designs data analysis to meet business objectives and communicates findings clearly.
• Handles complex data extracts and transfers from databases to analysts.
• Uses advanced statistical tools to develop ad hoc reports and trends.
• Provides innovative data solutions and improves data processes.

Skills

Project management

Data analysis

Leadership

Education

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

6 years of related work experience

Master's degree

Tools

SQL (Oracle/BO)

Power BI

Git

Palantir Foundry

Python (numpy/pandas)

Excel (advanced)

Geospatial tools

Job description

Requisition ID# 175032

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 & 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

This position is hybrid, working from your remote office and your assigned work location based on business need. The expectation is that this person will be in the office 1 to 2 days per week. The assigned work location will be within the PG&E Service Territory.

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 ($163,000), 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: $126,00
• Bay Area Mid-Point: $163,000
• Bay Area Maximum: $200,000

Job Responsibilities

• Manages complex data analysis projects with limited supervision on only the most complex projects from initial request to presenting data results ensuring that the project is completed within budget and on-time.
• 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.
• Process spatial data and demonstrates the ability to clean, transform, integrate and analyze large spatial datasets including shapefiles, raster data, and other geospatial datasets
• Support predictive modeling with techniques such as statistical models, logistical regression, decision trees, and other supervised/unsupervised learning methods.
• Works with Directors and Managers across functions to influence decisions.

Background Qualifications

Minimum

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

Desired

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