Principal, Operations Data Analyst (Flexible location)

Requisition ID# 164925

Job Category: Business Operations / Strategy

Job Level: Manager/Principal

Business Unit: Engineering, Planning & Strategy

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; Washington; Watsonville; West Sacramento; Wheatland; Whitmore; Willits; Willow Creek; Willows; Windsor; Winters; Woodland; Yuba City

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 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, 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, the decision will be made on a case-by-case basis related to these factors.

A reasonable salary range is:

Bay Area Minimum: $136,000

Bay Area Maximum: $232,000

&/OR

California Minimum: $129,000

California Maximum: $220,000

• 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 location is flexible within the PG&E service territory.

Responsibilities:

• Manages complex data analysis projects with minimal supervision from initial request to presenting data results, ensuring the project is completed within budget and on time.
• Acts as a thought leader applying extensive data processing and analysis expertise to develop strategy or resolve complex data issues. Creates very complex automated data routines and processes for reporting and delivery, ensuring accurate data manipulation and 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 advanced statistical tools to develop complex ad hoc reports, statistics, trends, and profiles.
• Develop comprehensive reports and analysis for long-term, company-wide issues. Presents/communicates precise, 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 strategies and leverage data in decision-making.

Qualification

Minimum:

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

Desired

• Master's Degree.
• 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
• Advanced skill in UNIX shell programming (csh, awk, sed, vi).
• Strong knowledge of base-SAS and programming languages such as Visual Basic and Perl.
• 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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