Senior, Operations Data Analyst

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.

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, 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.

A reasonable salary range is :

Bay Area Minimum : $105,000

Bay Area Maximum : $169,000

California Minimum : $100,000

California Maximum : $161,000

• This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.
• This position is hybrid. You will work from your remote office and your assigned location based on business needs. The headquarters is located at the Oakland General Office.

Responsibilities :

• Manages complex data analysis projects with limited supervision 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.

Analyzes data using various statistical tools to develop ad hoc reports, statistics, trends, and profiles.

• Manages 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
• Creates complex automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
• Demonstrates and utilizes advanced knowledge of data processing and data analysis techniques.
• Develops and communicates clear, concise, and actionable data analyses for clients.
• Provides recommendations to enhance database(s) with new data sources and improved data processes.

Qualifications

Minimum :

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

Desired :

• Familiarity with utility operations.
• Proficient skill in writing SQL queries using Oracle or Business Objects
• Proficient knowledge and skill with Python
• Exceptional skill in PowerBi and dax coding language
• Strong organizational skills, ability to effectively prioritize work, meet deadlines and work on multiple tasks independently.
• Good communications and presentation skills to deliver findings and make recommendations to stakeholders.
• Project management skills.

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