Operations Data Analyst, Principal

Requisition ID # 164274 

Job Category: Business Operations / Strategy 

Job Level: Manager/Principal

Business Unit: Electric Engineering

Work Type: Hybrid

Job Location: Oakland; Alameda; Alta; American Canyon; Angels Camp; Antioch; Auberry; Auburn; Avenal; Avila Beach; Bakersfield; Balch Camp; Bay Point; Bear Valley; Belden; Bellota; Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney; Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola; Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord; Concord; Corcoran; Cottonwood; Cupertino; Daly City; Danville; Davis; Dinuba; Downieville; Dublin; Emeryville; Eureka; Fairfield; Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno; Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley; Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt; Houston; Huron; Jackson; Kerman; King City; Lakeport; Lemoore; Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake; Madera; Magalia; Manteca; Manton; Mariposa; Martell; Marysville; Maxwell; Menlo Park; Merced; Meridian; Millbrae; Milpitas; Modesto; Monterey; Montgomery Creek; Morgan Hill; Morro Bay; Moss Landing; Mountain View; Napa; Needles; Newark; Newman; Novato; Oakdale; Oakhurst; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo Beach; Pittsburg; Placerville; Pleasant Hill; Point Arena; Potter Valley; Quincy; Rancho Cordova; Red Bluff; Redding; Richmond; Ridgecrest; Rio Vista; Rocklin; Roseville; Round Mountain; Sacramento; Salida; Salinas; San Bruno; San Carlos; San Francisco; San Francisco; San Jose; San Luis Obispo; San Mateo; San Rafael; San Ramon; San Ramon; Sanger; Santa Cruz; Santa Maria; Santa Nella; Santa Rosa; Selma; Shaver Lake; Sonoma; Sonora; South San Francisco; Springville; Stockton; Storrie; Taft; Tracy; Turlock; Twain; Ukiah; Vacaville; Vallejo; Walnut Creek; Wasco; Watsonville; West Sacramento; Wheatland; Whitmore; Willits; Willow Creek; Willows; Windsor; Winters; Woodland; Yuba City

Department Overview

The System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E’s Electric Reliability Strategy and initiatives. This team of forward–thinking individuals will be tasked with deploying technology and infrastructure and influencing the organization to achieve the company’s reliability goals. The team is responsible for implementing programs required to modernize the electric grid allowing for safe, resilient and efficient operations. The team participates in a cross functional team of internal and consulting participants being tasked with leading the transition of a project from development and testing to being operational for each phase of each project.

Position Summary

Within the System Performance, Reliability and Resiliency Strategy team, this position reports to the Manager, System Performance Monitoring and is responsible for developing data analysis tools that quantify the reliability and resilience performance of the electric transmission and distribution grids. These tools will provide the key feedback to drive the development of the climate resilient grid that will fuel the future use of electric power in the communities that PG&E serves. 

• This position is hybrid, working from your remote office and your assigned work location based on business need. 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, 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.

Bay Minimum: $136,000
Bay Maximum: $232,000

&/OR

CA Minimum: $129,000
CA Maximum: $220,000

This job is also eligible to participate in PG&E’s discretionary incentive compensation programs. 

Job Responsibilities

• Manages very complex data analysis projects with very limited supervision from initial request to presenting data results ensuring that the project is completed within budget and on-time. 
• Acts as a thought leader applying extensive data processing and data analysis expertise in the development of strategy or resolution to complex data issues. Creates very complex automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing. 
• Manages major and complex cross functional data projects that have broad company implications. 
• 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.
• Develops comprehensive reports and analysis for long-term, company-wide issues. Presents/communicates clear, concise and actionable data analyses for clients. 
• Acts as team lead and provides direction to less experienced employees.
• May work with Senior Management to develop business related strategy, leveraging data in decision making.

Qualifications

Minimum:

• BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience
• Job-related experience, 8 years

Desired:

• Masters degree or higher in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
• Familiarity with utility operations.
• Advanced experience with electric system data from line sensors, smart meters, synchrophasors, and SCADA.
• Advanced knowledge of programming languages such as Python, Pyspark, and data platforms such as AWS, Foundry, and Snowflake
• Advanced skill in writing SQL queries using Oracle or Business Objects
• Strong organizational, prioritization and multi-tasking skills. Advanced communication and presentation skills to deliver highly complex data and findings to Sr. Management. 
• Expertise in project management to lead large, cross functional projects and develop concise data findings for Sr. Management

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