The Pg&e Growth Marketing Analyst interview guide, interview questions, salary data, and interview experiences.

Pg&e Growth Marketing Analyst Interview Guide

Getting ready for an Growth Marketing Analyst interview at Pg&amp;e? The Pg&amp;e Growth Marketing Analyst interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Pg&amp;e Growth Marketing Analyst roles.</li>
<li>Gain insights into the Growth Marketing Analyst interview process at Pg&amp;e.</li>
<li>Practice real Pg&amp;e Growth Marketing Analyst interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Pg&amp;e Growth Marketing Analyst interview.


Getting ready for an Growth Marketing Analyst interview at Pg&e? The Pg&e Growth Marketing Analyst interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Pg&e Growth Marketing Analyst roles.
- Gain insights into the Growth Marketing Analyst interview process at Pg&e.
- Practice real Pg&e Growth Marketing Analyst interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Pg&e Growth Marketing Analyst interview.
        

Overview

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Pg&e Growth Marketing Analyst Interview Process

Let’s say you are in charge of shipments at Amazon.

There are two types of parcels you can ship packages in, say A and B. Packages delivered in parcel A are damaged during shipment with probability p, while packages delivered in parcel B are damaged with probability q.

What statistical test could you use to determine which parcel is better to use? What would the statistical test conclude if p=0.4 and q=0.6?

Note: Assume the values of p and q were obtained from data recorded from 200 shipments, half delivered with parcel A and half delivered with parcel B.

What statistical test could you use to determine which of two parcel types is better to use, given how often they are damaged?

Different Parcel Effectiveness

Statistics

Let’s say that you are working as a data scientist at Amazon Prime Video, and they are about to launch a new show, but first want to test the launch on only 10,000 customers first

<ol>
<li>How do we go about selecting the best 10,000 customers for the pre-launch?</li>

<li>What would the process look like for pre-launching the TV show on Amazon Prime to measure how it performs?</li>
</ol>

How do we go about selecting the best 10,000 customers for the pre-launch?

Pre-Launching Shows

A/B Testing & Experimentation

Let’s say we have a sample size of $n$. The margin of error for our sample size is 3.

How many more samples would we need to decrease the margin of error to 0.3?

Let's say we have a sample size of N. The margin of error for our sample size is 3.

How many more samples would we need to decrease the margin of error to 0.3?

Let's say we have a sample size of N. The margin of error for our sample size is 3.

How many more samples would we need to decrease the margin of error to 0.3?

Reducing Error Margin

Pg&e Growth Marketing Analyst Interview Questions

Requisition ID# 164849
Job Category: Accounting / Finance
Job Level: Individual Contributor
Business Unit: Operations - Other
Work Type: Hybrid
Job Location: Auburn; Oakland
Department Overview
PG&E's Power Generation organization operates and maintains PG&E's hydroelectric, fossil, solar generation and battery storage facilities, providing approximately 5,500 megawatts of generating capacity for our customers. Our coworkers are dedicated to delivering safe, reliable and cost-effective generation to California in an environmentally responsible manner. Our hydro facilities include 58 conventional hydro powerhouses, a pumped-storage facility, 98 reservoirs, 165 dams and morethan 350 miles of canals, flumes and other water conveyances. Natural gas-fired plants in operation are Humboldt Bay Generating Station in Eureka; Colusa Generating Station in Colusa County and Gateway Generating Station in Antioch. Several utility-scale solar generation plants are operated and maintained, as well as PG&E's successful entry into battery energy storage systems, with our Elkhorn Battery facility at Moss Landing in Monterey County.
Position Summary
This position, in partnership with a peer Analysis & Modeling Risk Analyst, will primarily lead the risk analysis and quantification efforts for all Power Generation risks. The successful candidate will be instrumental in executing the transition to a new risk management framework that is integrated across the organization, and that will provide necessary granularity and integration to align with PG&E's enterprise risk management framework.
This position will work closely with stakeholders internal to Power Generation, including those within Power Generation's Asset Engineering (including Asset Knowledge Management), Risk & Compliance, Business Planning, Asset Strategy, Project Execution, and other teams. This position will also engage with stakeholders external to Power Generation, including those within the Enterprise and Operational Risk Management, Business Plan Deployment, Emergency Preparedness & Response, Geosciences, and other teams.
In this role, you will quickly learn and apply our current risk framework. This includes bowtie development, evaluation of controls and mitigations, and support ad hoc risk analysis in support of our asset strategy partners.Excellent Excel auditing, implementation of Python codes, and Foundry code repository is required.This role will also require detailed understanding of our prioritization models and identifying the gaps with our current bowtie models that will need to be addressed and solved. In the transition to a new risk-informed evaluation approach, the successful candidate will work closely with different stakeholders to incorporate requirements, and plan and execute the new models.
The prospective candidate is organized, technically oriented, can grasp concepts quickly, and adapt to new information.The successful candidate will be instrumental in managing the transition to a new risk-informed evaluation methodology that will provide appropriate level of granularity and align with PG&E's Enterprise & Operational Risk Management framework.
This position is hybrid, working from your remote office and your assigned work location based on business need (Oakland or Auburn). Currently, the team goes into the office approximately once a week or as required based on specific meetings and workshops.
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.
A reasonable salary range is:
Bay Area Minimum: $140,000
Bay Area Maximum: $238,000
&/OR
California Minimum: $133,000
California Maximum: $226,000
This job is also eligible to participate in PG&E's discretionary incentive compensation programs.
Position Duties (may include but are not limited to)
Lead development and maintenance of quantitative risk models in support of asset management system, asset investment planning, enterprise and operational risk management objectives, and regulatory proceedings.

Be able to effectively communicate how the quantitative risk models work and explain the results to risk owners and the leadership team.

Deliver in-depth data analysis using Python or Foundry platform to provide insights to management and facilitate Power Generation business and risk decisions

Promote data-driven decision-making, establishing a culture of risk quantification across the Functional Area.

Develop and coordinate presentation materials for various levels of management, including company Officers and members of the Board of Directors.

Assist in the development and management of Power Generation's Risk Register and statistical and probabilistic methodologies for risk assessment and prioritization.

Job Responsibilities
Researches and applies advanced knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.

Creates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets

Extracts, transforms, and loads data from dissimilar sources from across PG&E for their machine learning feature engineering

Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development.

Wrangles and prepares data as input of machine learning model development and feature engineering

Writes and documents reusable python functions and modular python code for data science.

Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.

Works with sponsor departments and company subject matter experts to understand application and potential of data science solutions that create value.

Presents findings and makes recommendations to senior management.

Acts as peer reviewer of complex models

Qualifications-
Minimum:
Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.

6 years in data science (or no experience, if possess Doctoral Degree or higher, as described above).

Desired:
5+ years of experience in power generation business and risk management.

Doctoral Degree or higher in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.

Experience in Foundry code repository program using PySpark

Experience in asset management (Power Generation)

Experience in General Rate Case (GRC) and Risk Assessment & Mitigation Phase (RAMP) Filings

Program experience with Python and Github

Demonstrated experience in visualization tools and techniques and refined visualization skills for communicating risk quantification results and progress.

Demonstrated analytical and critical thinking skills with the ability to synthesize complex issues into easy-to-understand concepts.

Good oral and communication skills.

Experience building relationships across multiple functions and facilitating the decision-making process.

Technically oriented and ability to manage multiple workstreams concurrently.

Self-starter, sense of urgency and accountability.

#featuredjob

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Requisition ID # 166779
Job Category: Business Operations / Strategy
Job Level: Individual Contributor
Business Unit: Electric Operations
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
Electric Operations ensures the delivery of clean, safe, reliable and affordable energy to nearly 16 million people in Northern and Central California. The Electric Operations Team is responsible for ensuring the electric grid's reliability and resiliency through the ongoing maintenance and operations of PG&E's 100,000 miles of distribution lines and over 18,000 miles of Transmission lines. Coworkers in Electric Operations actively engage in the Lean Methodology through the use of visual management in operating reviews to cross-functionally identify and solve problems, and create standard work. By working together as One Electric. One Team. We are delivering for our hometowns. Electric Operations is comprised of approximately 6,500 coworkers.
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. They develop, maintain and enhance 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 assigned work location will be within the PG&E Service Territory. This position requires travel to the Dublin Innovation Center 1  - 2 days a week.
PG&E is providing the salary range that can reasonably be expected for this position at the time of the job posting. This salary 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, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location.  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.
Bay Area –  $122,000 - $173,800
And/or
California - $116,000 - $165,000
Job Responsibilities
Acts as team lead and provides direction to less experienced employees.
Analyzes data using various advanced statistical tools to develop complex ad hoc reports, statistics, trends and profiles.
Demonstrates and uses broad expertise in data processing and data analysis and applies this knowledge to a number of different issues.
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.
Develops comprehensive reports and communicates clear, concise and actionable data analyses for clients.
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.
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
Provides new and innovative solutions and recommendations to enhance database(s) with new data sources and improved data processes.
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
Job-related experience, 6 years
Desired:
Masters Degree or equivalent experience
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
Experience with Python and Python libraries (Pandas, Statsmodels)
Strong knowledge of base-SAS and programming language such as Visual Basic, Perl, C
Strong organizational, prioritization and multi-tasking skills.
Strong problem solving skills.
Influence skills.
Advanced project management skills to lead cross functional teams.

Requisition ID # 166542
Job Category: Accounting / Finance
Job Level: Manager/Principal
Business Unit: Operations - Other
Work Type: Hybrid
Job Location: Dublin
Position Summary
Designs, develops, and executes scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating for defensible, valid, scalable, reproducible, and documented machine learning and artificial intelligence models (predictive or optimization) for problem-solving and strategy development. Participates in internal and external communities of practice in data science/artificial intelligence/machine learning to advance knowledge in the field. Educates the non-technical community on advantages, risks, and maturity levels of data science solutions.
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.
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 that 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, taking into account these factors.

A reasonable salary range is:
Bay Area Minimum: $159,000
Bay Area Maximum: $271,000
&/OR
California Minimum: $151,000
California Maximum: $257,000

This job is also eligible for participation in PG&Es discretionary incentive compensation programs.
Job Responsibilities
Creates, applies, and evaluates advanced data mining architectures, models, protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets.
Process and analyze large scale remote sensing and GIS datasets via advanced geospatial algorithms and models.
Applies and evaluates data science, machine learning, and artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development.
Writes and documents complex and reusable Python functions, as well as multi-modular Python code for data science.
As a technical leader, provides thought leadership in the use of machine learning algorithms for solving business problems.
Mentors junior data scientists and drives standardization in processes and toolsets across the data science community at PG&E.
Collaborates with analytics platform owners to prioritize and drive the development of scalable data science capabilities.
Acts as a peer reviewer for complex models and AI algorithm proposals.
Recognizes and prioritizes the most critical work related to data science models to achieve the highest operational and strategic impact for analytics in the business.
Works with enterprise leaders as an advocate for the digital transformation of the business through the adoption of data science, analytics, and data-driven business processes.
Presents findings and makes recommendations to executive leadership and cross-functional management.
Qualifications
Minimum:
Bachelors Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics, or an equivalent field.
8 years in data science (or 2 years if you possess a Doctoral Degree or higher, as described above).
Desired:
Doctoral Degree or higher in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience
Experience with geospatial algorithms and GIS data transformation and processing
Bonus if you have experience with Pyspark and geospatial libraries like Sedona and raster

Requisition ID# 166470
Job Category :  Business Operations / Strategy
Job Level :  Manager / Principal
Business Unit :  Electric Operations
Work Type :  Hybrid
Job Location :  Sacramento
Department Overview
Electric Operations ensures the delivery of clean, safe, reliable and affordable energy to nearly 16 million people in Northern and Central California. The Electric Operations Team is responsible for ensuring the electric grid's reliability and resiliency through the ongoing maintenance and operations of PG&E's 100,000 miles of distribution lines and over 18,000 miles of Transmission lines. Coworkers in Electric Operations actively engage in Lean Methodology through the use of visual management in operating reviews to cross-functionally identify and solve problems and create standard work. By working together as One Electric. One Team. We are delivering for our hometowns. Electric Operations is comprised of approximately 6,500 coworkers.
Position Summary
Conducts research, data analysis, budgeting, forecasting and reporting in support of Electric Operations' decision making, strategy and operations. Participate in business process improvement, quality control and other initiatives. Develops and implements workforce planning and analytics using data visualization tools, gathers and analyzes operational and financial information, and conducts various analysis.
This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location is flexible 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.
A reasonable salary range is :
Bay Area Minimum :  $128,000
Bay Area Maximum :  $218,000
California Minimum :  $122,000
California Maximum :  $207,000
Job Responsibilities
Develops highly complex data systems that have wide ranging impact and application across multiple departments.
Manages major cross-functional projects and initiatives
May provide direction and coaching to other Business Analysts.
Performs analysis on the most complex data models that have cross- functional impact.
Solves unique and complex problems, anticipating issues and developing innovative solutions. Presents findings and recommendations to senior leaders to gain agreement.
Works with senior management to support strategic planning and decision making.
Develops and maintains workforce planning models. Incorporates actual and projected internal workforce changes and external labor market factors into models.
Prepares cost structure analysis, including cost benchmarks within the electric utility industry.
Partners with all levels across Electric Operations to gather and analyze operational and financial information to formulate recommendations for workforce strategy and development.
Problem Solving : Ability to break down complex business problems and deliver actionable solutions.
Qualifications
Minimum :
Bachelor of Science in Business, Finance, Economics, Engineering or related discipline or equivalent work experience required
Job-related experience, 8 years
Desired :
Proven experience managing complex analytics projects and delivering value-driven solutions to a range of stakeholders
Demonstrated expertise in developing and implementing workforce analytics solutions using Power BI, including DAX, data modeling, Power Query, and advanced visualization techniques
Graduate Degree or equivalent experience
Experience in strategic planning, or other related
Operations experience in gas and / or electric
Utility industry experience
Experience in communication
Experience in regulatory environment
Resource planning experience
Experience Power Apps and Power Automate
Experience in creating Lean Data Visuals
Familiarity with predictive analytics, statistical modeling, and machine learning as applied to workforce data
Advanced user of Excel, with the ability to learn new tools and technologies as required

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Requisition ID# 166510
Job Category: Business Operations / Strategy
Job Level: Manager/Principal
Business Unit: Engineering, Planning & Strategy
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 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.
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.

Requisition ID # 166503
Job Category: Project / Program Management
Job Level: Supervisor
Business Unit: Electric Operations
Work Type: Hybrid
Job Location: Dublin
Department
Electric Operations (EO) ensures the delivery of safe and reliable electric service to our customers. Electric Operations is responsible for every aspect of PG&E's electric distribution and transmission operations, including planning, engineering, maintenance and construction, asset management, business planning, restoration, and emergency response.
Electric Operations Construction Management is responsible for the construction, project and contract management of PG&E’s electric distribution overhead and underground facilities.
Position Summary
Oversee data for electric capital construction and maintenance projects throughout service territory. Manage team of Data Analysts, Data Engineers, Business Intelligence (BI) Developers, Database Administrators (DBAs), and Visualization Designers. The Data Architect & Tools, Supervisor, will lead the centralization and oversight of data flow, structure, and reporting across the organization.
Job Responsibilities
This role is responsible for designing and maintaining efficient data architecture, ensuring consistency, accuracy, and accessibility of data to support timely and strategic decision-making. By unifying data functions and implementing best practices in data governance and reporting, this position will drive organizational affordability, reduce redundancy, and enhance the overall value of our data assets.
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.
A reasonable salary range is:​
Annual Minimum:      $144,000
Annual Midpoint:    $194,000
Annual Maximum:    $244,000

Job Responsibilities
Lead the design, implementation, and maintenance of organization-wide data architecture and reporting frameworks. Centralize data management functions across EO Construction Management to ensure consistency and reduce redundancy.
Collaborate with cross-functional teams to define and enforce data standards, governance policies, and best practices. Oversee the development and optimization of data pipelines to support timely and accurate reporting.
Ensure data is structured and stored efficiently to enable scalable and user-friendly reporting solutions. Monitor data quality and integrity across systems, identifying and resolving discrepancies proactively.
Support strategic decision-making by delivering reliable, actionable insights through standardized reporting. Manage and mentor staff involved in data reporting and analytics, fostering a culture of collaboration and continuous improvement.
Evaluate and implement tools and technologies that enhance data accessibility, reporting speed, and affordability. rovide regular updates and recommendations to leadership on data strategy, performance metrics, and improvement opportunities.
Supervises 5-15 direct reports which may include Data Analysts, Data Engineers, Business Intelligence (BI) Developers, Database Administrators (DBAs), and Visualization Designers. May supervise union or non-union employees.

Qualifications
Minimum:
Bachelor's Degree in Computer Science, Business, Finance or equivalent combination of education, experience, and training
Six (6) years’ total relevant experience in:
technical project management, and/or
program management in the utility industry, and/or
business management in the utility industry
Desired:
Knowledge of electric and gas distribution facilities and construction.
Certified Project Management Professional (PMP) from the Project Management Institute (PMI)

Requisition ID # 166293
Job Category: Information Technology
Job Level: Individual Contributor
Business Unit: Information Technology
Work Type: Hybrid
Job Location: Oakland
Department Overview
The SAP Data and Analytics department provides data engineering services and support to all lines of businesses. The department is responsible for strategic technology planning, roadmap development, solution design, solution delivery, and solution support.
Position Summary
The Data Engineering Associate will support the SAP S4 HANA migration, propel program, to define how data will be stored, consumed, integrated, and managed by different IT systems. Partners with stakeholders to contribute and align with strategic direction and relevant architectures, technology standards and design patterns.
Job Responsibilities
Assembles large, complex sets of data that meet non-functional and functional business requirements.
Builds high-performance data pipelines and prototypes that enable business use of the data.
Builds infrastructure for optimal extraction, transformation and loading of data from various data sources.
Understands business requirements and applies them to complex software engineering and analysis.
Communicates (oral and written) recommendations with peers inside the department.
Partners with team members to understand and incorporate standards information and requirements into work procedures.
Identifies and analyzes to departmental standards, norms, and new goals/objectives.
Assists in data, design, product, and executive teams with data-related technical issues.
Understands the infrastructure that allows big data to be accessed and analyzed.
Utilizes department standard issue tracking, source control, and documentation tools.
PG&E is providing the hourly rate 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 hourly rate 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.
The salary range for this position ranges from $80,000 to $120,000.
Qualifications
Minimum:
BA/BS in Computer Science, Management Information Systems, or related field of study, or equivalent experience.
Desired:
One (1) year of experience with data engineering/ETL ecosystem, such as SAP data applications
Experience with data engineering and data transformations via a training or apprenticeship program acceptable.
Experience in the SAP domain with business intelligence, data migration, reporting and analytics, and ETL.
Strong understanding of data engineering principles and practices.
Experience with SAP ERP Central Component (ECC) or SAP S4 HANA, Business Warehouse (BW), SAP Analytics Cloud (SAC) or other SAP toolsets.
Excellent communication skills, both oral and written.
Ability to work collaboratively with team members and stakeholders.
PG&E is unable to provide VISA sponsorship to students on an F-1, J-1 or other student visa for this position.

Requisition ID # 166335
Job Category: Accounting / Finance
Job Level: Manager/Principal
Business Unit: Electric Engineering
Work Type: Hybrid
Job Location: Oakland
Department Overview
The Electric Engineering team ensure all manners of electric engineering including electric standards and process safety, electric asset planning, design engineering, instrumentation testing and controls, undergrounding, electric regulatory compliance and electric investment planning are in place to safely enable a strategic and stable workplan for our Electric Operations partners. Our organization is accountable for program planning, financial budgeting, and project execution and delivery of all electric engineering projects.
Position Summary
The Visual Insights & Analytics Manager leads a team of skilled product and project managers to deliver high-value analytics and data products that support the strategic objectives of the Electric Engineering and Operations team. This role is responsible for defining product strategy, shaping the technical architecture for scalable and effective product development, and ensuring seamless integration of solutions into existing and new processes.
The manager will collaborate closely with data analysts, data engineers, GIS analysts, program leads, leadership, and external regulatory bodies to develop innovative, data-driven solutions. A strong understanding of geographical data needs (including line, polygon, and point data), along with GIS applications, is critical. The ideal candidate will also think strategically about features and applications to support client needs, possess strong problem-solving abilities, and demonstrate a proven ability to build and maintain client relationships.
This position is hybrid, working from your remote office and your assigned work location based on business need.
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.

A reasonable salary range is:
Bay Area Minimum: $159,000
Bay Area Maximum: $271,000
Job Responsibilities
Leadership & Strategy
Lead and oversee visual analytics and data product portfolios, driving strategic vision and execution in alignment with PG&E’s True North Strategy for Electric Engineering and Operations.
Manages staff to accomplish results through effective recruitment and selection, training and development, performance management and coaching, and rewards and recognition.
Develop product roadmaps, secure funding, and align stakeholders on portfolio planning.
Drive change management efforts to successfully integrate analytics products into existing or new business processes.
Build and lead a high-performing team, setting clear goals, providing professional development opportunities, and ensuring access to the necessary tools, technology, and training.
Maintain transparency into product status through lean visual management tools across sub-teams.
Manage financial responsibilities, including budgeting, forecasting, contracting, and liability accruals.
Utilizes deep understanding of business drivers and financial levers, along with instrumental data science techniques, to prioritize work and provide strategic decision support.
Product Management & Communication
Works with enterprise leaders as an advocate for digital transformation of the business through the adoption of data science, artificial intelligence, and data-driven business processes.
Supervises the technical development of mathematical models and AI simulations which represent complex business scenarios through formulas and data science code for problem-solving.
Conducts risk evaluation studies of model impact on business outcomes.
Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.
Monitors the development of data science, machine learning, artificial intelligence, mathematical modeling and optimization, and similar emerging technologies to continuously assess their impact on business strategies. Participates with peers in risk and maturity assessment of data science tools
Define and communicate product requirements, ensuring alignment with business objectives and client needs.
Develop and execute scalable product architectures that enable efficient data processing, analysis, and visualization.
Oversee end-to-end product development, from ideation and design to deployment and continuous improvement.
Collaborate with GIS analysts and engineers to integrate geospatial data into analytics solutions.
Identify and implement innovative technical solutions to address cross-organizational challenges.
Ensure data products adhere to security, compliance, and performance best practices.
Capture and synthesize meeting notes, ensuring key decisions, action items, and follow-ups are well-documented.
Oversee development of product charters with clearly defined scope, goals, stakeholders, and success metrics.
Build compelling slide decks and presentations to communicate product roadmaps, progress, data documentation, and decisions, and insights through effective storytelling.
Drive cross-functional collaboration, ensuring alignment between technical teams, business leaders, and external stakeholders.
Oversee team that develops and maintains product backlogs, prioritizing features and enhancements based on business value and user feedback.
Interface with regulatory agencies and external bodies to ensure compliance with industry standards and regulatory requirements for data visualization and reporting.
Ensure the accurate and timely delivery of the quarterly Office of Energy Infrastructure Safety GIS Standards report, with a focus on continuous improvement.
Promote awareness and adoption of data and analytics capabilities across PG&E.
Qualifications
Minimum:
Bachelor's degree in Statistics, Mathematics, Applied Science, Data Science, Engineering, Physics, Economics, or equivalent field
2 years hands-on experience in data science (or no experience, if possess Advanced Degree, as described above)
2 years of leadership experience in data science
Desired:
Doctorate Degree in Data Science, Machine Learning, or job-related discipline or equivalent experience
Utility industry experience, electric or gas, or other job-related, 3 years

Requisition ID # 166515
Job Category: Business Operations / Strategy
Job Level: Individual Contributor
Business Unit: Electric Operations
Work Type: Hybrid
Job Location: Placerville; 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; Oakland; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo Beach; Pittsburg; 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
Pole Reinforcement plays a crucial role in ensuring the safety and reliability of California's electric service. We are responsible for reinforcing distribution and transmission poles, utilizing steel stubs, ensuring compliance with CA laws and PG&E standards. Using cutting-edge technology, we contribute to the commitment to providing safe and uninterrupted access to electricity. Our department is dedicated to environmental responsibility and safety, making it an essential component of our commitment to delivering quality service to our customers.
Position Summary
The Business Analyst will be supporting the Pole Reinforcement Program, System Inspections by conducting research, performing data analysis, budgeting, forecasting and reporting in support of business decision making, strategy and operations. Participate in business process improvement, quality control and other initiatives. Develops, manages and coordinates performance and quality assessment, business process re-engineering, change management, communication and training.
This position is hybrid, working from your remote office and assigned location, subject to change per business needs.
The assigned work location will be within the PG&E Service Territory and will be agreed upon by the successful candidate and hiring leader.
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.
A reasonable salary range is:
Minimum Base Salary (Bay Area)           $ 98,000.00
Maximum Base Salary (Bay Area)          $ 146,000.00
OR
Minimum Base Salary (California)           $ 93,000.00
Maximum Base Salary (California)          $ 139,000.00
Job Responsibilities
Performs analysis on complex data models requiring customized reports and data.
Develops new or revises existing data analysis to predict business outcomes selecting from various complex variables.
Develops and uses metrics to develop recommendations related to business strategy and operations. Presents findings and recommendations to leaders.
Understands business operational needs, develops new reports and performs custom/ad-hoc reporting working independently. Presents findings to various audiences.
Manages small to mid-size projects.
Communicates with peers inside and outside the department exchanging ideas or gathering information.
Participates on project teams.
Qualifications
Minimum:
Bachelor of Science in Business, Finance, Economics, Engineering or related discipline or equivalent work experience required.
4 years of related work experience
Desired:
6 years’ experience as a Business Analyst preferred
Ability to build dashboards and tools
Advance MS Excel skills (complex formulas) and Power Queries (M-language)
Strong project management knowledge and skills to lead project teams
Experience with:   SQL
SQL Server
Tableau
PowerBI
Data modeling
Database management
Star Schema
MS forms
SAP
Foundry

Broad knowledge of different analytical methods, approaches and tactics
Advanced understanding of fundamental analysis and what-if modeling concepts, methods and techniques and analysis of how different factors affect business outcomes
Creative problem skills to develop solutions
Strong presentation and communication skills to deliver findings and recommendations to various levels of management
Knowledge and understanding of key drivers affecting business results
Advanced in Microsoft Office, Project, Visio or similar software

Question	Topic	Difficulty	Ask Chance
Different Parcel Effectiveness	Statistics	Easy	Very High
Pre-Launching Shows	A/B Testing & Experimentation	Medium	High
Reducing Error Margin	Statistics	Medium	High

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